Impact and Integration of Mini Photovoltaic Systems on Electric Power Distribution Grids
Demirel, G.; Grafenhorst, S.; Förderer, K.; Hagenmeyer, V.
2025. Energy Informatics – 4th Energy Informatics Academy Conference, EI.A 2024, Kuta, Bali, Indonesia, October 23–25, 2024, Proceedings, Part II. Ed.: B. Jørgensen, 247–265, Springer Nature Switzerland. doi:10.1007/978-3-031-74741-0_16

Dynamic Phenotype Mapping in Evolutionary Algorithms for Energy Hub Scheduling
Poppenborg, R.; Phipps, K.; Beichter, M.; Förderer, K.; Mikut, R.; Hagenmeyer, V.
2025. Energy Informatics – 4th Energy Informatics Academy Conference, EI.A 2024, Kuta, Bali, Indonesia, October 23–25, 2024, Proceedings, Part II. Ed.: B. Jørgensen, 205–223, Springer Nature Switzerland. doi:10.1007/978-3-031-74741-0_14

Automation Level Taxonomy for Time Series Forecasting Services: Guideline for Real-World Smart Grid Applications
Meisenbacher, S.; Galenzowski, J.; Förderer, K.; Suess, W.; Waczowicz, S.; Mikut, R.; Hagenmeyer, V.
2024. Energy Informatics – 4th Energy Informatics Academy Conference, EI.A 2024, Kuta, Bali, Indonesia, October 23–25, 2024, Proceedings, Part I. Ed.: B. Jørgensen, 277–297, Springer Nature Switzerland. doi:10.1007/978-3-031-74738-0_18

An Application of a New Nonlinearity Measure to a Rotary Dryer Model
Schaßberger, J. M.; Ponomarev, A.; Hagenmeyer, V.; Gröll, L.
2024. 34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering, 853–858, Elsevier. doi:10.1016/B978-0-443-28824-1.50143-5

Extended Abstract: Assessing GNSS Vulnerabilities in Smart Grids
Canbolat, S.; Fruböse, C.; Elbez, G.; Hagenmeyer, V.
2024. Detection of Intrusions and Malware, and Vulnerability Assessment – 21st International Conference, DIMVA 2024, Lausanne, Switzerland, July 17–19, 2024, Proceedings. Ed.: F. Maggi, 545 – 555, Springer Nature Switzerland. doi:10.1007/978-3-031-64171-8_28

Distribution Grid Monitoring Based on Widely Available Smart Plugs
Grafenhorst, S.; Förderer, K.; Hagenmeyer, V.
2024. Energy Informatics – Third Energy Informatics Academy Conference, EI.A 2023, Campinas, Brazil, December 6–8, 2023, Proceedings, Part II. Ed.: B. Jørgensen, 195–212, Springer Nature Switzerland. doi:10.1007/978-3-031-48652-4_13

Managing Anomalies in Energy Time Series for Automated Forecasting
Turowski, M.; Neumann, O.; Mannsperger, L.; Kraus, K.; Layer, K.; Mikut, R.; Hagenmeyer, V.
2024. Energy Informatics. Proceedings. Ed.: B. Jørgensen. Pt. 1, 3–29, Springer Nature Switzerland. doi:10.1007/978-3-031-48649-4_1

Automating Value-Oriented Forecast Model Selection by Meta-learning: Application on a Dispatchable Feeder
Werling, D.; Beichter, M.; Heidrich, B.; Phipps, K.; Mikut, R.; Hagenmeyer, V.
2024. Energy Informatics : Third Energy Informatics Academy Conference, EI.A 2023, Campinas, Brazil, December 6–8, 2023, Proceedings, Part I / Ed.: B. Jørgensen, 95–116, Springer Nature Switzerland. doi:10.1007/978-3-031-48649-4_6

Entwicklung eines Metall-Keramik-Verbundes für thermo-mechanisch hochbelastbare Sichtfenster. Dissertation
Spatafora, L.
2024, November 18. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000176190

Stability in Time-Delay Systems. Dissertation
Scholl, T. H.
2024, November 4. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000175831

Occupant-Oriented Demand Response with Model Predictive Heating Control in a Multi-Zone Residential Building. Dissertation
Frahm, M.
2024, September 13. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000174124

Challenges in Deep Learning Based Forecasting of Time Series with Calendar-driven Periodicities. Dissertation
Heidrich, B.
2024, Juni 11. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000171463

Quantifying and Interpreting Uncertainty in Time Series Forecasting. Dissertation
Phipps, K.
2024, Juni 3. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000171223

Future Residential Energy System Design. Dissertation
Kleinebrahm, M.
2024, Mai 28. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000170239

Neuartiger Solid-State Transformer auf Basis des Modular Multilevel Converters. Dissertation
Himmelmann, P.
2024, April 22. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000170146

Interaction of external forcing and noise in bio-inspired oscillator systems. Dissertation
Kumpost, V.
2024, März 12. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000169163

Distribution grid monitoring based on feature propagation using smart plugs
Grafenhorst, S.; Förderer, K.; Hagenmeyer, V.
2024. Energy Informatics, 7 (1), Article no: 116. doi:10.1186/s42162-024-00427-y

The complementary role of energy system and power grid models: An analysis of the European energy transformation from a holistic perspective
Lotze, J.; Moser, M.; Savvidis, G.; Keles, D.; Hagenmeyer, V.
2024. Energy Conversion and Management, 315, Art.-Nr. 118761. doi:10.1016/j.enconman.2024.118761

Coordinated price-based control of modulating heat pumps for practical demand response and peak shaving in building clusters
Langner, F.; Kovačević, J.; Zwickel, P.; Dengiz, T.; Frahm, M.; Waczowicz, S.; Çakmak, H. K.; Matthes, J.; Hagenmeyer, V.
2024. Energy and Buildings, 324, 114940. doi:10.1016/j.enbuild.2024.114940

Generating synthetic energy time series: A review
Turowski, M.; Heidrich, B.; Weingärtner, L.; Springer, L.; Phipps, K.; Schäfer, B.; Mikut, R.; Hagenmeyer, V.
2024. Renewable and Sustainable Energy Reviews, 206, 114842. doi:10.1016/j.rser.2024.114842

Analysing and Predicting Extreme Frequency Deviations: A Case Study in the Balearic Power Grid
Sharfeddine, Z.; Pütz, S.; Tamhane, V.; Hagenmeyer, V.; Schäfer, B. B. J.
2024. Energy Informatics Review Newsletter: EIR Newsletter

On the correlation between pre-processing workflow and dimensional accuracy of 3D printed parts in high-precision Material Jetting
Chen, K. J.; Elkaseer, A.; Scholz, S. G.; Hagenmeyer, V.
2024. Additive Manufacturing, 91, Art.-Nr.: 104335. doi:10.1016/j.addma.2024.104335

The role of energy storage systems for a secure energy supply: A comprehensive review of system needs and technology solutions
De Carne, G.; Maroufi, S. M.; Beiranvand, H.; De Angelis, V.; D’Arco, S.; Gevorgian, V.; Waczowicz, S.; Mather, B.; Liserre, M.; Hagenmeyer, V.
2024. Electric Power Systems Research, 236, Art.-Nr.: 110963. doi:10.1016/j.epsr.2024.110963

Control-oriented modeling of direct-heat co-current rotary dryers for energy demand flexibility
Schaßberger, J. M.; Gröll, L.; Hagenmeyer, V.
2024. Computers & Chemical Engineering, 189, Art.-Nr.: 108774. doi:10.1016/j.compchemeng.2024.108774

Real-time coordination of integrated transmission and distribution systems: Flexibility modeling and distributed NMPC scheduling
Dai, X.; Guo, Y.; Jiang, Y.; Jones, C. N.; Hug, G.; Hagenmeyer, V.
2024. Electric Power Systems Research, 234, Artk:Nr.: 110627. doi:10.1016/j.epsr.2024.110627

Automated Building Layout Generation: Implementation and Comparison of Streamer Early Design Configurator and SDaC Layout Designer
Zhong, Y.; Hempel, S.; Geiger, A.; Haefele, K.-H.; Hagenmeyer, V.
2024. Journal of building engineering, 95, 110163. doi:10.1016/j.jobe.2024.110163

Gossen’s first law in the modeling for demand side management: a thorough heat pump case study with deep learning based partial time series data generation
Li, C.; Brecher, G.; Kovačević, J.; Çakmak, H. K.; Förderer, K.; Matthes, J.; Hagenmeyer, V.
2024. Energy Informatics, 7, 47. doi:10.1186/s42162-024-00353-z

Open Data-Driven Automation of Residential Distribution Grid Modeling With Minimal Data Requirements
Weber, M.; Janecke, L.; Çakmak, H. K.; Hagenmeyer, V.
2024. IEEE Transactions on Smart Grid, 15 (6), 5721–5732. doi:10.1109/TSG.2024.3406765

Generating probabilistic forecasts from arbitrary point forecasts using a conditional invertible neural network
Phipps, K.; Heidrich, B.; Turowski, M.; Wittig, M.; Mikut, R.; Hagenmeyer, V.
2024. Applied Intelligence. doi:10.1007/s10489-024-05346-9

The impact of heat pumps on day-ahead energy community load forecasting
Semmelmann, L.; Hertel, M.; Kircher, K. J.; Mikut, R.; Hagenmeyer, V.; Weinhardt, C.
2024. Applied Energy, 368, 123364. doi:10.1016/j.apenergy.2024.123364

Using conditional Invertible Neural Networks to perform mid‐term peak load forecasting
Heidrich, B.; Hertel, M.; Neumann, O.; Hagenmeyer, V.; Mikut, R.
2024. IET Smart Grid, 7 (4), 460–472. doi:10.1049/stg2.12169

Hierarchical-stochastic model predictive control for a grid-interactive multi-zone residential building with distributed energy resources
Langner, F.; Frahm, M.; Wang, W.; Matthes, J.; Hagenmeyer, V.
2024. Journal of Building Engineering, 89, 109401. doi:10.1016/j.jobe.2024.109401

Nonlinear analysis of the synchronous reference frame phase-locked loop under unbalanced grid voltage
Ponomarev, A.; Hagenmeyer, V.; Gröll, L.
2024. Nonlinear Dynamics, 112, 9225–9243. doi:10.1007/s11071-024-09532-9

Ensuring Data Privacy in AC Optimal Power Flow with a Distributed Co-Simulation Framework
Dai, X.; Kocher, A.; Kovačević, J.; Dindar, B.; Jiang, Y.; Jones, C. N.; Çakmak, H.; Hagenmeyer, V.
2024. Electric power systems research, 235, Art.-Nr.: 110710. doi:10.1016/j.epsr.2024.110710

What ODE-Approximation Schemes of Time-Delay Systems Reveal about Lyapunov-Krasovskii Functionals
Scholl, T. H.; Hagenmeyer, V.; Gröll, L.
2024. IEEE Transactions on Automatic Control, 69 (7), 4614–4629. doi:10.1109/TAC.2023.3347497

Early Attack Detection for Securing GOOSE Network Traffic
Elbez, G.; Nahrstedt, K.; Hagenmeyer, V.
2024. IEEE Transactions on Smart Grid, 15 (1), 899–910. doi:10.1109/TSG.2023.3272749

Multiobjective Optimization of Energy Pulsation and Power Dissipation in Modular Multilevel Converters
Kappenstein, S.; Hagenmeyer, V.; Gröll, L.
2024. IEEE 65th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON 2024), Institute of Electrical and Electronics Engineers (IEEE)

Heuristic vs. Analytical Energy Hub Optimization: Design, Implementation, and Trade-Offs
Grafenhorst, S.; Ohm, J.; Poppenborg, R.; Förderer, K.; Hagenmeyer, V.
2024. 2024 IEEE 12th International Conference on Smart Energy Grid Engineering (SEGE), Oshawa, ON, Canada, 18-20 August 2024, 145–150, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SEGE62220.2024.10739589

Vibrational Control for Energy Balancing in Modular Multilevel Converters
Kastner, A.; Gröll, L.; Hagenmeyer, V.
2024. 65th International Scientific Conference of Riga Technical University on Power and Electrical Engineering RTUCON2024, Riga, 10th-12th October 2024

Geometric Relationships in Constant Output Control
Kastner, A.; Gröll, L.; Hagenmeyer, V.
2024. 2024 10th International Conference on Control, Decision and Information Technologies (CoDIT), Valletta, Malta , 1st - 4th July 2024, 1774–1779, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CoDIT62066.2024.10708406

A Novel Approach for Removing Decaying DC Offset from Fault Current Signals Using Cumulative Sum – Fast Moving Average (CumSum-FMA) Hybrid Algorithm
Abel, P.; Wiegel, F.; Kyesswa, M.; Waczowicz, S.; Hagenmeyer, V.
2024. 2024 IEEE 15th International Symposium on Power Electronics for Distributed Generation Systems (PEDG), Luxemburg, 23rd-26th June 2024, 1–5, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PEDG61800.2024.10667422

ePowCoRe: A Novel Generic Representation of Power Grids Enabling Open-Source Model Conversion Modules
Weber, M.; Kocher, A.; Çakmak, H. K.; Hagenmeyer, V.
2024. Proceedings of 2024 Open Source Modelling and Simulation of Energy Systems (OSMSES), 6 S., Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/OSMSES62085.2024.10668981

Grid supporting nonlinear control for AC-coupled DC Microgrids
Ekin, Ö.; Perez, F.; Wiegel, F.; Hagenmeyer, V.; Damm, G.
2024. 2024 IEEE Sixth International Conference on DC Microgrids (ICDCM), Columbia, SC, USA, 05-08 August 2024, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICDCM60322.2024.10664838

Identifying Complex Dynamics of Power Grid Frequency
Wen, X.; Oberhofer, U.; Gorjão, L. R.; Yalcin, G. C.; Hagenmeyer, V.; Schäfer, B.
2024. The 15th ACM International Conference on Future and Sustainable Energy Systems, 408–414, Association for Computing Machinery (ACM). doi:10.1145/3632775.3661944

Line Management in the Energy Packet Grid
Weßbecher, M.; Wiegel, F.; An, S. X.; Schneider, K.; Schulz, D.; Zitterbart, M.; Hiller, M.; Hagenmeyer, V.
2024. Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems (e-Energy ’24), 182–191, Association for Computing Machinery (ACM). doi:10.1145/3632775.3661954

Forecasting Electric Vehicle Charging Behavior in Workplace Charging Infrastructure with Limited Privacy-Restricted Real Data
Stein, A.; Beichter, S.; Hage, J.; Beichter, M.; Schwarz, B.; Waczowicz, S.; Hiller, M.; Hagenmeyer, V.; Munzke, N.; Mikut, R.
2024. 2024 IEEE Transportation Electrification Conference and Expo (ITEC), 7 S., Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ITEC60657.2024.10598951

Feasibility of Forecasting Highly Resolved Power Grid Frequency Utilizing Temporal Fusion Transformers
Pütz, S.; El Ashhab, H.; Hertel, M.; Mikut, R.; Götz, M.; Hagenmeyer, V.; Schäfer, B.
2024. e-Energy ’24: Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems, 447–453, Association for Computing Machinery (ACM). doi:10.1145/3632775.3661963

Decision-Focused Retraining of Forecast Models for Optimization Problems in Smart Energy Systems
Beichter, M.; Werling, D.; Heidrich, B.; Phipps, K.; Neumann, O.; Friederich, N.; Mikut, R.; Hagenmeyer, V.
2024. e-Energy ’24 : Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems, 170–181, Association for Computing Machinery (ACM). doi:10.1145/3632775.3661952

A Comparative Analysis of Machine Learning Algorithms for Aggregated Electric Chargepoint Load Forecasting
Li, C.; Zhang, M.; Förderer, K.; Matthes, J.; Hagenmeyer, V.
2024. 2024 9th International Conference on Sustainable and Renewable Energy Engineering (ICSREE 2024), Marseille, May 9th-11th 2024, Ed.: J. Lin, Art.-Nr.: 01004, EDP Sciences. doi:10.1051/e3sconf/202454501004

TSO-DSO Interaction: Privacy-Preserving Optimal Power Flow with Distributed Generators Using a Machine Learning-Based Approach
Dindar, B.; Saner, C. B.; Çakmak, H. K.; Hagenmeyer, V.
2024. 2023 IEEE PES 15th Asia-Pacific Power and Energy Engineering Conference (APPEEC), 6 S., Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/APPEEC57400.2023.10562006

Privacy Protection in Collaborative Geographically Distributed Co-Simulation of Multimodal Energy Systems
Kocher, A.; Kovačević, J.; Süß, A.-C.; Saner, C. B.; Dindar, B.; Ehsan, M. A.; Çakmak, H. K.; Hagenmeyer, V.
2024. e-Energy ’24 : Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems, Singapore, 4th-7th June 2024, 639–647, Association for Computing Machinery (ACM). doi:10.1145/3632775.3661990

Improving Reduced-Order Building Modeling: Integration of Occupant Patterns for Reducing Energy Consumption
Kovačević, J.; Li, C.; Förderer, K.; Çakmak, H. K.; Hagenmeyer, V.
2024. Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems, 15th ACM International Conference on Future and Sustainable Energy Systems (2024), Singapur, Singapur, 04.06.2024–07.06.2024, 569–579, Association for Computing Machinery (ACM). doi:10.1145/3632775.3662163

Interoperability Assessment of IEC 61850 Devices in a Multivendor Digital Substation
Keppler, G.; Bonetti, A.; Canbolat, S.; Mumrez, A.; Hagenmeyer, V.; Elbez, G.
2024. 6th Global Power, Energy and Communication Conference (GPECOM2024), Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/GPECOM61896.2024.10582663

Extended Abstract: Assessing GNSS Vulnerabilities in Smart Grids
Canbolat, S.; Fruböse, C.; Elbez, G.; Hagenmeyer, V.
2024. 21st Conference on Detection of Intrusions and Malware and Vulnerability Assessment (DIMVA ’24)

Attacking Learning-based Models in Smart Grids: Current Challenges and New Frontiers
Sanchez, G.; Elbez, G.; Hagenmeyer, V.
2024. e-Energy ’24: Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems, 589–595, Association for Computing Machinery (ACM). doi:10.1145/3632775.3661984

CityGML Data Preparation for Thermal Building Simulation on District Level
Geiger, A.; Häfele, K.-H.; Hagenmeyer, V.
2024. IBPSA (International Building Performance Simulation Association)

Towards a Conception and the Implementation of FAIR Data Management Tools for the Energy Domain
Stucky, K.-U.; Koubaa, M. A.; Liu, N.; Schmidt, A.; Süß, W.; Hagenmeyer, V.
2024. 1. NFDI4Energy Conference, 5 S., Zenodo. doi:10.5281/zenodo.10614813

Real-Time Coordination of Integrated Transmission and Distribution Systems: Flexibility Modeling and Distributed NMPC Scheduling
Dai, X.; Guo, Y.; Jiang, Y.; Jones, C. N.; Hug, G.; Hagenmeyer, V.
2024. 23rd Power Systems Computation Conference, Paris, 4th-6th June 2024, arxiv

Verifiable Certificateless Signcryption Scheme for Smart Grids
Ramadan, M.; Elbez, G.; Hagenmeyer, V.
2024. 2023 7th International Conference on System Reliability and Safety (ICSRS), 181–189, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICSRS59833.2023.10381069

Gossen’s First Law in the Modeling for Demand Side Management: A First Heat Pump Case Study
Li, C.; Förderer, K.; Moser, T.; Spatafora, L.; Hagenmeyer, V.
2024. Energy Informatics. Hrsg.: B.N. Jørgensen. Pt. 2, 111–125, Springer Nature Switzerland. doi:10.1007/978-3-031-48652-4_8

Accurate and Scalable Detection and Investigation of Cyber Persistence Threats
Liu, Q.; Shoaib, M.; Rehman, M. U.; Bao, K.; Hagenmeyer, V.; Hassan, W. U.
2024. arxiv. doi:10.48550/arXiv.2407.18832

HADES: Detecting Active Directory Attacks via Whole Network Provenance Analytics
Liu, Q.; Bao, K.; Hassan, W. U.; Hagenmeyer, V.
2024. arxiv. doi:10.48550/arXiv.2407.18858

Hardware-Based Microgrid Coupled to Real-Time Simulated Power Grids for Evaluating New Control Strategies in Future Energy Systems
Kyesswa, M.; Wiegel, F.; Wachter, J.; Kühnapfel, U.; Waczowicz, S.; Hagenmeyer, V.
2024. arxiv. doi:10.48550/arXiv.2409.01809

Helmholtz Energy Transition Roadmap : HETR
Bülow, M. R.; Litnovsky, A.; Meyn, A.; Pitz-Paal, R.; Poganietz, W.-R.; Ruck, S.; Soyk, D.; Boogaart, K. G. Van Den; Boos, H.; Dittmeyer, R.; Ehrenberg, H.; Fichtner, M.; Guillon, O.; Hagenmeyer, V.; Jochem, P.; Pesch, T.; Peters, R.; Schlatmann, R.; Simon, S.; Stieglitz, R.; Krol, R. Van De
2024. Helmholtz. doi:10.5445/IR/1000172546

Technical report on the flexibility potentials and solutions of buildings, districts, transport, and energy-intensive industries
Argert, C.; Dyck, A.; Jacobs, N.; Jochem, P.; Kröner, M.; Maydell, C. von; Schlüters, S.; Schuldt, F.; Vehse, M.; Dahmen, M.; Germschied, S.; Mitsos, A.; Mork, M.; Müller, D.; Ojeda, A.; Xhonneux, A.; Frahm, M.; Häfele, K.-H.; Hagenmeyer, V.; Matthes, J.; Vogelbacher, M.
2024. Deutsches Zentrum für Luft- und Raumfahrt (DLR). doi:10.5445/IR/1000171941

Impact and Integration of Mini Photovoltaic Systems on Electric Power Distribution Grids
Demirel, G.; Grafenhorst, S.; Förderer, K.; Hagenmeyer, V.
2024. arxiv

Ensuring Data Privacy in AC Optimal Power Flow with a Distributed Co-Simulation Framework
Dai, X.; Kocher, A.; Kovačević, J.; Dindar, B.; Jiang, Y.; Jones, C. N.; Çakmak, H.; Hagenmeyer, V.
2024. arxiv. doi:10.48550/arXiv.2402.01001

Real-Time Coordination of Integrated Transmission and Distribution Systems: Flexibility Modeling and Distributed NMPC Scheduling
Dai, X.; Guo, Y.; Jiang, Y.; Jones, C. N.; Hug, G.; Hagenmeyer, V.
2024. arxiv. doi:10.48550/arXiv.2402.00508

Intrinsic Explainable Artificial Intelligence Using Trainable Spatial Weights on Numerical Weather Predictions
Neumann, O.; Beichter, M.; Heidrich, B.; Friederich, N.; Hagenmeyer, V.; Mikut, R.
2024. 15th ACM International Conference on Future and Sustainable Energy Systems (e-Energy 2024), Singapur, Singapur, 4.–7. Juni 2024

Methodik zur Stabilitätsanalyse in totzeitbehafteten Systemen
Scholl, T. H.; Gröll, L.; Hagenmeyer, V.
2024, Februar 22. 58. Regelungstechnisches Kolloquium (2024), Boppard, Deutschland, 21.–23. Februar 2024

Explainability and Benchmarking of Transformers for Time-Series Forecasting
Hertel, M.; Pütz, S.; Schäfer, B.; Mikut, R.; Hagenmeyer, V.
2024. Helmholtz Artificial Intelligence Conference (Helmholtz AI 2024), Düsseldorf, Deutschland, 12.–14. Juni 2024

A Concept for Deployment and Evaluation of Unsupervised Domain Adaptation in Cognitive Perception Systems. Dissertation
Schutera, M.
2023, Oktober 11. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000162895

Robot-Assisted Full Automation Interface: Touch-Response On Zebrafish Larvae. Dissertation
Wang, Y.
2023, August 10. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000161245

A Novel Plenoptic Camera based Measurement System for the Analysis of Flight and Combustion Properties of Refuse-derived Fuel Particles Utilizing Tracking-by-Detection. Dissertation
Zhang, M.
2023, August 3. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000161108

Ein generisches und hoch skalierbares Framework zur Automatisierung und Ausführung wissenschaftlicher Datenverarbeitungs- und Simulationsworkflows. Dissertation
Liu, J.
2023, Juli 13. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000160430

A Generic Flexible and Scalable Method for Using Evolutionary Algorithms in Cluster Computing Environments. Dissertation
Khalloof, H.
2023, Juli 3. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000160054

Cable Layout Optimization Problems in the Context of Renewable Energy Sources. Dissertation
Gritzbach, S. F.
2023, Mai 19. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000158746

The Role of Spatial Scale in Electricity System Optimisation Models. Dissertation
Frysztacki, M. M.
2023, April 6. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000157620/v2

Automation of section acquisition for array tomography. Dissertation
Hoffmann, J.
2023, Februar 6. Karlsruher Institut für Technologie (KIT)

Automation of section acquisition for Array Tomography. Dissertation
Hoffmann, J.
2023. Karlsruher Institut für Technologie (KIT)

Facilitating and Enhancing the Performance of Model Selection for Energy Time Series Forecasting in Cluster Computing Environments. Dissertation
Shahoud, S.
2023, Januar 23. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000154568

Data-Driven Methods for Managing Anomalies in Energy Time Series. Dissertation
Turowski, M.
2023, Juli 6. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000154434

Input and state constrained inverse optimal control with application to power networks
Jouini, T. K.; Sun, Z.; Renganathan, V.; Hagenmeyer, V.
2023. IFAC-PapersOnLine, 56 (2), 5451 – 5456. doi:10.1016/j.ifacol.2023.10.196

Survey of real-world grid incidents – opportunities, arising challenges and lessons learned for the future converter dominated power system
Wachter, J.; Gröll, L.; Hagenmeyer, V.
2023. IEEE Open Journal of Power Electronics, 5, 50–69. doi:10.1109/OJPEL.2023.3343167

A two-stage parallel hybrid method for power system dynamic security assessment = Eine zweistufige parallele hybride Methode zur dynamischen Sicherheitsbewertung von Stromnetzen
Kyesswa, M.; Çakmak, H. K.; Kühnapfel, U.; Hagenmeyer, V.
2023. at - Automatisierungstechnik, 71 (12), 1002–1017. doi:10.1515/auto-2023-0079

Model Predictive Control of Distributed Energy Resources in Residential Buildings Considering Forecast Uncertainties
Langner, F.; Wang, W.; Frahm, M.; Hagenmeyer, V.
2023. Energy and Buildings, 303, Article no: 113753. doi:10.1016/j.enbuild.2023.113753

The Kopernikus ENSURE Co-Demonstration Platform
Mehlmann, G.; Kühnapfel, U.; Wege, F.; Winkens, A.; Scheibe, C.; Vogel, S.; Noglik, P.; Gratza, M.; Richter, J.; Weber, M.; Burlakin, I.; Kuri, A.; Wagner, T.; Hubschneider, S.; Poppenborg, R.; Heins, T.; Förderer, K. M.; Ulbig, A.; Monti, A.; Hagenmeyer, V.; Luther, M.
2023. IEEE Open Journal of Power Electronics, 4, 987–1002. doi:10.1109/OJPEL.2023.3332515

Using weather data in energy time series forecasting: the benefit of input data transformations
Neumann, O.; Turowski, M.; Mikut, R.; Hagenmeyer, V.; Ludwig, N.
2023. Energy Informatics, 6 (1), Art.-Nr.: 44. doi:10.1186/s42162-023-00299-8

Transformer training strategies for forecasting multiple load time series
Hertel, M.; Beichter, M.; Heidrich, B.; Neumann, O.; Schäfer, B.; Mikut, R.; Hagenmeyer, V.
2023. Energy Informatics, 6 (S1), Art.-Nr.: 20. doi:10.1186/s42162-023-00278-z

Abstracts of the 12th DACH+ Conference on Energy Informatics 2023
Grafenhorst, S.; Förderer, K.; Hagenmeyer, V.
2023. Energy Informatics, 6 (S2). doi:10.1186/s42162-023-00272-5

A new hybrid risk assessment process for cyber security design of smart grids using fuzzy analytic hierarchy processes
Canbolat, S.; Elbez, G.; Hagenmeyer, V.
2023. Automatisierungstechnik. doi:10.1515/auto-2023-0089

Customized Uncertainty Quantification of Parking Duration Predictions for EV Smart Charging
Phipps, K.; Schwenk, K.; Briegel, B.; Mikut, R.; Hagenmeyer, V.
2023. IEEE Internet of Things Journal, 10 (23), 20649–20661. doi:10.1109/JIOT.2023.3299201

Predicting the power grid frequency of European islands
Lund Onsaker, T.; Nygård, H. S.; Gomila, D.; Colet, P.; Mikut, R.; Jumar, R.; Maass, H.; Kühnapfel, U.; Hagenmeyer, V.; Schäfer, B.
2023. Journal of Physics: Complexity, 4 (1), Article no: 015012. doi:10.1088/2632-072X/acbd7f

Corrigendum to “ALDI++: Automatic and parameter-less discord and outlier detection for building energy load profiles” [Energy Build. 265 (2022) 112096]
Quintana, M.; Stoeckmann, T.; Park, J. Y.; Turowski, M.; Hagenmeyer, V.; Miller, C.
2023. Energy and Buildings, 286, Art.-Nr.: 112930. doi:10.1016/j.enbuild.2023.112930

Inverse methods: How feasible are spatially low-resolved capacity expansion modelling results when disaggregated at high spatial resolution?
Frysztacki, M. M.; Hagenmeyer, V.; Brown, T.
2023. Energy, 281, Art.-Nr.: 128133. doi:10.1016/j.energy.2023.128133

Occupant-oriented demand response with multi-zone thermal building control
Frahm, M.; Dengiz, T.; Zwickel, P.; Maaß, H.; Matthes, J.; Hagenmeyer, V.
2023. Applied Energy, 347, Art.-Nr.: 121454. doi:10.1016/j.apenergy.2023.121454

A comparative co-simulation analysis to improve the sustainability of cogeneration-based district multi-energy systems using photovoltaics, power-to-heat, and heat storage
Erdmann, A.; Marcellan, A.; Stock, J.; Neuroth, D.; Utama, C.; Suriyah, M.; Steinle, S.; Müller, F.; Hering, D.; Francke, H.; Gritzbach, S.; Henke, M.; Pflugradt, N.; Çakmak, H.; Kotzur, L.; Stolten, D.; Leibfried, T.; Müller, D.; Schlatmann, R.; Xhonneux, A.; Hagenmeyer, V.; Ulbrich, C.
2023. Energy conversion and management, 291, Artkl.Nr.: 117226. doi:10.1016/j.enconman.2023.117226

Energy Hub Gas: A Modular Setup for the Evaluation of Local Flexibility and Renewable Energy Carriers Provision
Poppenborg, R.; Chlosta, M.; Ruf, J.; Hotz, C.; Düpmeier, C.; Kolb, T.; Hagenmeyer, V.
2023. Energies, 16 (6), Art.-Nr.: 2720. doi:10.3390/en16062720

Microscopic Fluctuations in Power-Grid Frequency Recordings at the Subsecond Scale
Schäfer, B.; Rydin Gorjão, L.; Yalcin, G. C.; Förstner, E.; Jumar, R.; Maass, H.; Kühnapfel, U.; Hagenmeyer, V.
2023. (H. Sayama, Hrsg.) Complexity, 2023, Art.-Nr.: 2657039. doi:10.1155/2023/2657039

A Photovoltaic System Model Integrating FAIR Digital Objects and Ontologies
Schweikert, J.; Stucky, K.-U.; Süß, W.; Hagenmeyer, V.
2023. Energies, 16 (3), Art.-Nr.: 1444. doi:10.3390/en16031444

A Digital Framework for Locally and Geographically Distributed Simulation of Power Grids
Kyesswa, M.; Weber, M.; Wiegel, F.; Wachter, J.; Waczowicz, S.; Kühnapfel, U.; Hagenmeyer, V.
2023. Energy Technology, 11 (3). doi:10.1002/ente.202201186

Analytical uncertainty propagation for multi-period stochastic optimal power flow
Bauer, R.; Mühlpfordt, T.; Ludwig, N.; Hagenmeyer, V.
2023. Sustainable Energy, Grids and Networks, 33, Art.-Nr.: 100969. doi:10.1016/j.segan.2022.100969

Model Diagnostics and Forecast Evaluation for Quantiles
Gneiting, T.; Wolffram, D.; Resin, J.; Kraus, K.; Bracher, J.; Dimitriadis, T.; Hagenmeyer, V.; Jordan, A. I.; Lerch, S.; Phipps, K.; Schienle, M.
2023. Annual Review of Statistics and Its Application, 10. doi:10.1146/annurev-statistics-032921-020240

Controlling non-stationarity and periodicities in time series generation using conditional invertible neural networks
Heidrich, B.; Turowski, M.; Phipps, K.; Schmieder, K.; Süß, W.; Mikut, R.; Hagenmeyer, V.
2023. Applied Intelligence, 53 (8), 8826–8843. doi:10.1007/s10489-022-03742-7

Hypergraph- Based Fast Distributed AC Power Flow Optimization
Dai, X.; Lian, Y.; Jiang, Y.; Jones, C. N.; Hagenmeyer, V.
2023. 2023 62nd IEEE Conference on Decision and Control (CDC), 4572 – 4579, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CDC49753.2023.10383354

Experimental Analysis of Immersion & Invariance Adaptive Control for an Interleaved DC/DC Boost Converter with Unknown Load Type
Wachter, J.; Gröll, L.; Hagenmeyer, V.
2023. 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), 6 S., Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ISGTEUROPE56780.2023.10407194

Flatness of Some DC Microgrid Topologies
Kastner, A.; Gröll, L.; Hagenmeyer, V.
2023. 8th IEEE Workshop on the Electronic Grid (eGRID), Karlsruhe, 16th-18th October 2023, 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/eGrid58358.2023.10380906

NFDI4Energy Task Area 4: FAIR Data for Energy System Research
Wein, A.; Reinkensmeier, J.; Weidlich, A.; Lilliestam, J.; Hagenmeyer, V.; Richter, M.; Auer, S.; Nieße, A.; Lehnhoff, S.
2023. INFORMATIK 2023 - Designing Futures: Zukünfte gestalten, 939 – 946, Gesellschaft für Informatik (GI). doi:10.18420/inf2023_106

Application of Model-Free Control to Reduce the Total Harmonic Distortion of Inverters
Wachter, J.; Gröll, L.; Hagenmeyer, V.
2023. 2023 8th IEEE Workshop on the Electronic Grid (eGRID), Karlsruhe, Germany, 16-18 October 2023, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/eGrid58358.2023.10380817

Towards a Real-World Dispatchable Feeder
Beichter, S.; Beichter, M.; Werling, D.; Galenzowski, J.; Weise, V.; Hildenbrand, C.; Wiegel, F.; Mikut, R.; Waczowicz, S.; Hagenmeyer, V.
2023. 2023 8th IEEE Workshop on the Electronic Grid (eGRID), Karlsruhe, Germany, 16-18 October 2023, 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/eGrid58358.2023.10380834

Composing Power Flow Patterns through Coordinated Dispatch of Energy Packets
Schulz, D.; Schneider, K.; Weßbecher, M.; Hagenmeyer, V.; Zitterbart, M.; Hiller, M.
2023. 2023 8th IEEE Workshop on the Electronic Grid (eGRID), Karlsruhe, Germany, 16-18 October 2023, 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/eGrid58358.2023.10380818

Modes of Energy Packets in the Energy Packet Grid
Schneider, K.; Weßbecher, M.; Schulz, D.; Hagenmeyer, V.; Hiller, M.; Zitterbart, M.
2023. 2023 8th IEEE Workshop on the Electronic Grid (eGRID), Karlsruhe, Germany, 16-18 October 2023, 1–7, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/eGrid58358.2023.10380897

Experimental validation of demand side response rates for frequency control
Casasola-Aignesberger, L.; Wiegel, F.; Waczowicz, S.; Hagenmeyer, V.; Martinez, S.
2023. 2023 8th IEEE Workshop on the Electronic Grid (eGRID), Karlsruhe, Germany, 16-18 October 2023, 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/eGrid58358.2023.10380814

On Evasion of Machine Learning-based Intrusion Detection in Smart Grids
Mumrez, A.; Sánchez, G.; Elbez, G.; Hagenmeyer, V.
2023. IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids. doi:10.1109/SmartGridComm57358.2023.10333966

Comparative Study on Smart Grid Security Testbeds Using MITRE ATT&CK Matrix
Mumrez, A.; Muhammad M. Roomi; Heng Chuan Tan; Daisuke Mashima; Elbez, G.; Hagenmeyer, V.
2023. 2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SmartGridComm57358.2023.10333902

Non-linear, bivariate stochastic modelling of power-grid frequency applied to islands
Oberhofer, U.; Gorjao, L. R.; Yalcin, G. C.; Kamps, O.; Hagenmeyer, V.; Schäfer, B.
2023. 2023 IEEE Belgrade PowerTech, 1, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PowerTech55446.2023.10202986

ZeitGeist: A Generic Tool Supporting the Dissemination of Time Series Data Following FAIR Principles
Schmidt, A.; Koubaa, M.; Schweikert, J.; Stucky, K.-U.; Süß, W.; Hagenmeyer, V.
2023. Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 303–310, SciTePress. doi:10.5220/0012254300003598

Management Strategies for an EP device in an Energy Packet Grid
Weßbecher, M.; Marianczuk, J.; Wiegel, F.; An, S. X.; Schneider, K.; Schulz, D.; Zitterbart, M.; Hiller, M.; Hagenmeyer, V.
2023. Energy Informatics: First Energy Informatics Academy Conference, EI.A 2023, Campinas, Brazil, December 6–8, 2023, Proceedings. Ed.: B. Jørgensen, 240–256, Springer. doi:10.1007/978-3-031-48652-4_16

A Real-World District Community Platform as a Cyber-Physical-Social Infrastructure Systems in the Energy Domain
Galenzowski, J.; Waczowicz, S.; Meisenbacher, S.; Mikut, R.; Hagenmeyer, V.
2023. BuildSys ’23: Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, 434–441, Association for Computing Machinery (ACM). doi:10.1145/3600100.3626347

On Higher-Order Averaging and Flatness
Kastner, A.; Gröll, L.; Hagenmeyer, V.
2023. 2023 9th International Conference on Control, Decision and Information Technologies (CoDIT), Rome, Italy, 03-06 July 2023, 1043–1048, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CoDIT58514.2023.10284494

Tuning of discrete-time angular droop controllers
Jouini, T. K.; Sun, Z.; Hagenmeyer, V.
2023. 2023 IEEE Conference on Control Technology and Applications (CCTA), Bridgetown, Barbados, 16-18 August 2023, 741 – 745, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CCTA54093.2023.10252209

Dynamic Mapping for Evolutionary Algorithm Based Optimization of Energy Hub Gas Scheduling
Poppenborg, R.; Beisswanger, K.; Hotz, C.; Förderer, K.; Kolb, T.; Hagenmeyer, V.
2023. 2023 IEEE 11th International Conference on Smart Energy Grid Engineering (SEGE), 206–211, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SEGE59172.2023.10274571

A Novel Method for Topology Preserving Static Network Reduction
Weber, M.; Çakmak, H. K.; Kühnapfel, U.; Hagenmeyer, V.
2023. 2023 IEEE 11th International Conference on Smart Energy Grid Engineering (SEGE), Oshawa, ON, Canada, 13-15 August 2023, 58–63, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SEGE59172.2023.10274576

FAIR Data for Energy System Research – An Overview of NFDI4Energy Task Area 4
Wein, A.; Reinkensmeier, J.; Weidlich, A.; Lilliestam, J.; Hagenmeyer, V.; Richter, M.; Auer, S.; Nieße, A.; Lehnhoff, S.
2023. 1st Conference on Research Data Infrastructure (CoRDI) - Connecting Communities, Karlsruhe, 12th - 14th September 2023, 1–4, Karlsruher Institut für Technologie (KIT). doi:10.52825/CoRDI.v1i.364

Enhancing Agility and Reconfigurability in Production: A Database-Driven Infrastructure to Support Additive Manufacturing with Collaborative Robotics
Mueller, T.; Scholz, S.; Salem, M.; Hagenmeyer, V.; Schmidt, A.
2023. Production Processes and Product Evolution in the Age of Disruption – Proceedings of the 9th Changeable, Agile, Reconfigurable and Virtual Production Conference (CARV2023) and the 11th World Mass Customization & Personalization Conference (MCPC2023), Bologna, Italy, June 2023, 255 – 263, Springer International Publishing. doi:10.1007/978-3-031-34821-1_28

Automating day-ahead forecasting of photovoltaic power generation: Model design, monitoring, and adaption
Meisenbacher, S.; Martin, T.; Heidrich, B.; Mikut, R.; Hagenmeyer, V.
2023. ETG Congress 2023, Kassel, Germany, 25-26 May 2023, 83–90, VDE Verlag

A Real-Time PHIL Implementation of a Novel Nonlinear Distributed Control Strategy for a Multi-Terminal DC Microgrid
Ekin, Ö.; Perez, F.; Damm, G.; Hagenmeyer, V.
2023. 2023 IEEE Belgrade PowerTech, Belgrade, Serbia, 25-29 June 2023, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PowerTech55446.2023.10202843

Dynamic Chromosome Interpretation in Evolutionary Algorithms for Distributed Energy Resources Scheduling
Poppenborg, R.; Phipps, K.; Khalloof, H.; Förderer, K.; Mikut, R.; Hagenmeyer, V.
2023. GECCO ’23 Companion: Companion Conference on Genetic and Evolutionary Computation Lisbon Portugal July 15 - 19, 2023. Ed.: S. Silva, 755–758, Association for Computing Machinery (ACM). doi:10.1145/3583133.3590666

From Stationary to Flexible Plant Operation: Extension of a Co-Current Rotary Dryer Model for Energy Demand Flexibility
Schaßberger, J.; Hagenmeyer, V.; Gröll, L.
2023. International Conference on Process Control 2023

A Shapley value-based Distributed AC OPF Approach for Redispatch Congestion Cost Allocation
Bauer, R.; Dai, X.; Hagenmeyer, V.
2023. e-Energy ’23: Proceedings of the 14th ACM International Conference on Future Energy Systems, 109 – 113, Association for Computing Machinery (ACM). doi:10.1145/3575813.3576881

The Impact of Local Energy Market Participants’ Decisions on Efficient Energy Usage: Design of a Multi-Agent System
Speck, C.; Bluhm, S.; Weinhardt, C.; Zwickel, P.; Hagenmeyer, V.
2023. 2023 19th International Conference on the European Energy Market (EEM), Lappeenranta, Finland, 06-08 June 2023, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/EEM58374.2023.10161771

An Efficient Greedy Algorithm for Real-World Large-Scale Electric Vehicle Charging
Hegele, M.; Metzler, P.; Beichter, S.; Wiegel, F.; Hagenmeyer, V.
2023. Companion Proceedings of the 14th ACM International Conference on Future Energy Systems (e-Energy ’23), 415–426, Association for Computing Machinery (ACM). doi:10.1145/3575813.3597349

A new Data-Driven Approach for Comparative Assessment of Baseline Load Profiles Supporting the Planning of Future Charging Infrastructure
Galenzowski, J.; Waczowicz, S.; Hagenmeyer, V.
2023. Companion Proceedings of the 14th ACM International Conference on Future Energy Systems (e-Energy ’23), 8–20, Association for Computing Machinery (ACM). doi:10.1145/3599733.3600245

Regulatory Changes in German and Austrian Power Systems Explored with Explainable Artificial Intelligence
Pütz, S.; Kruse, J.; Witthaut, D.; Hagenmeyer, V.; Schäfer, B.
2023. Companion Proceedings of the 14th ACM International Conference on Future Energy Systems (e-Energy ’23), 26–31, Association for Computing Machinery (ACM). doi:10.1145/3599733.3600247

The Impact of Forecast Characteristics on the Forecast Value for the Dispatchable Feeder
Werling, D.; Beichter, M.; Heidrich, B.; Phipps, K.; Mikut, R.; Hagenmeyer, V.
2023. Companion Proceedings of the 14th ACM International Conference on Future Energy Systems (e-Energy ’23), 59–71, Association for Computing Machinery (ACM). doi:10.1145/3599733.3600251

Loss-Customised Probabilistic Energy Time Series Forecasts Using Automated Hyperparameter Optimisation
Phipps, K.; Meisenbacher, S.; Heidrich, B.; Turowski, M.; Mikut, R.; Hagenmeyer, V.
2023. Proceedings of the 14th ACM International Conference on Future Energy Systems, 271–286, Association for Computing Machinery (ACM). doi:10.1145/3575813.3595204

AutoPV: Automated photovoltaic forecasts with limited information using an ensemble of pre-trained models
Meisenbacher, S.; Heidrich, B.; Martin, T.; Mikut, R.; Hagenmeyer, V.
2023. Proceedings of the 14th ACM International Conference on Future Energy Systems (e-Energy 2023), 386–414, Association for Computing Machinery (ACM). doi:10.1145/3575813.3597348

Distributed Co-Simulation of Multimodal Energy Systems using eASiMOV : Tutorial 5
Süß, A.-C.; Kovacevic, J.; Cakmak, H.; Hagenmeyer, V.
2023. 2023 Open Source Modelling and Simulation of Energy Systems (OSMSES), Institute of Electrical and Electronics Engineers (IEEE)

PyAPI-RTS: A Python-API for RSCAD Modeling
Weber, M.; Enzinger, J.; Çakmak, H. K.; Kühnapfel, U.; Hagenmeyer, V.
2023. 2023 Open Source Modelling and Simulation of Energy Systems (OSMSES), Hrsg.: IEEE, International Workshop on Open Source Modelling and Simulation of Energy Systems (OSMSES 2023), Aachen, Deutschland, 27.03.2023–29.03.2023, 1–7, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/OSMSES58477.2023.10089671

Introducing PROOF - A PROcess Orchestration Framework for the Automation of Computational Scientific Workflows and Co-Simulations
Liu, J.; Chlosta, M.; Schaber, N.; Sidler, J.; Lutz, R.; Schlachter, T.; Hagenmeyer, V.
2023. 2023 Open Source Modelling and Simulation of Energy Systems (OSMSES), Hrsg.: IEEE, International Workshop on Open Source Modelling and Simulation of Energy Systems (OSMSES 2023) Aachen, Deutschland, 27.03.2023–29.03.2023, 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/OSMSES58477.2023.10089680

Digital, Scalable Manufacturing - A Sustainable Production Scenario Using Collaborative Robotics and Additive Manufacturing
Müller, T.; Schmidt, A.; Scholz, S.; Hagenmeyer, V.
2023. Sustainable Design and Manufacturing – Proceedings of the 9th International Conference on Sustainable Design and Manufacturing (SDM 2022). Ed.: S. Scholz, 262–271, Springer Nature Singapore. doi:10.1007/978-981-19-9205-6_25

Assessing the combination of differential flatness and deterministic automata for controllable hybrid systems
Zahn, F.; Kleinert, T.; Hagenmeyer, V.
2023. 2022 IEEE 61st Conference on Decision and Control (CDC), 2612–2619, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CDC51059.2022.9993043

Multi-Day Stochastic Scheduling of Electric Vehicle Charging for Reliability and Convenience
Schwenk, K.; Hagenmeyer, V.; Mikut, R.
2023. IEEE Vehicle Power and Propulsion Conference (VPPC), Merced, California, USA, 1st - 4th November 2022, 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/VPPC55846.2022.10003402

Open Data-Driven Automation of Residential Distribution Grid Modeling with Minimal Data Requirements
Weber, M.; Janecke, L.; Çakmak, H. K.; Hagenmeyer, V.
2023. arxiv. doi:10.48550/arXiv.2312.06552

Hypergraph-Based Fast Distributed AC Power Flow Optimization
Dai, X.; Lian, Y.; Jiang, Y.; Jones, C. N.; Hagenmeyer, V.
2023. arxiv. doi:10.48550/arXiv.2307.06728

Distributed AC Optimal Power Flow for Generic Integrated Transmission-Distribution Systems
Dai, X.; Zhai, J.; Jiang, Y.; Jones, C. N.; Hagenmeyer, V.
2023. arxiv. doi:10.48550/arXiv.2308.13282

Non-Sequential Machine Learning Pipelines with pyWATTS
Heidrich, B.; Phipps, K.; Meisenbacher, S.; Turowski, M.; Neumann, O.; Mikut, R.; Hagenmeyer, V.
2023. Zenodo. doi:10.5281/zenodo.7740850

Von vollständigen zu robusten Lyapunov-Krasovskii-Funktionalen für die Analyse absoluter Stabilität in Totzeitsystemen
Scholl, T. H.; Hagenmeyer, V.; Gröll, L.
2023, September 25. Tagung der VDI/VDE-GMA-Fachausschüsse 2.14 ’Systemtheorie und Regelungstechnik’ (2023), Anif, Österreich, 25.–27. September 2023

Dynamic Mapping for Evolutionary Algorithm Based Optimization of Energy Hub Gas Scheduling
Poppenborg, R.
2023, August 13. 11th IEEE International Conference on Smart Energy Grid Engineering (SEGE 2023), Oshawa, Kanada, 13.–15. August 2023

Using Conditional Invertible Neural Networks To Perform Mid-Term Peak Load Forecasting
Heidrich, B.; Neumann, O.; Hertel, M.; Hagenmeyer, V.; Mikut, R.
2023. 43rd International Symposium On Forecasting (2023), Charlottesville, VA, USA, 25.–28. Juni 2023

Automating the design and operation of day-ahead photovoltaic power generation forecasts with AutoPV
Meisenbacher, S.; Mikut, R.; Heidrich, B.; Martin, T.; Hagenmeyer, V.
2023. Helmholtz Energy Conference (2023), Koblenz, Deutschland, 12.–13. Juni 2023

Winning the Peak Shape and Peak Timing Tasks of the BIGDEAL Load Forecasting Challenge with Conditional Invertible Neural Networks
Neumann, O.; Heidrich, B.; Hertel, M.; Hagenmeyer, V.; Mikut, R.
2023. Helmholtz Artificial Intelligence Conference (Helmholtz AI 2023), Hamburg, Deutschland, 12.–14. Juni 2023

Poster Abstract: A three-phase electricity grid model of a single family house
Grafenhorst, S.; Förderer, K.; Hagenmeyer, V.
2023. 12th DACH+ Conference on Energy Informatics (2023), Wien, Österreich, 4.–6. Oktober 2023

RO-Crate Time Series Exporter for the Building Consumption Data of KIT Campus North
Schweikert, J.; Turowski, M.; Köbe, V.; Süß, W.; Hagenmeyer, V.
2023. 1st Conference on Research Data Infrastructure (CoRDI 2023), Karlsruhe, Deutschland, 12.–14. September 2023. doi:10.5281/zenodo.8423342

Hybrid Risk Assessment Process for Smart Grids
Canbolat, S.; Elbez, G.; Hagenmeyer, V.
2023, Mai 10. 10th KIT-Zentrum Energie Promovierenden-Symposium // KIT Energy Center Doctoral Symposium (2023), Karlsruhe, Deutschland, 10. Mai 2023

Evaluating ML-based IDS with Mimicry Attacks
Sanchez, G.; Mumrez, A.; Elbez, G.; Wressnegger, C.; Hagenmeyer, V.
2023. Community Congress by StartUpSecure 2023- Critical Infrasructure and CyberSecruity (2023), Karlsruher Institut für Technologie, 11. Mai 2023

Electrical Load Forecasting with Transformer Neural Networks
Hertel, M.; Beichter, M.; Heidrich, B.; Neumann, O.; Ott, S. M.; Schäfer, B.; Mikut, R.; Hagenmeyer, V.
2023. Helmholtz Artificial Intelligence Conference (Helmholtz AI 2023), Hamburg, Deutschland, 12.–14. Juni 2023

Introduction to eASiMOV-eCoSim
Kovacevic, J.; Süß, A.-C.; Çakmak, H. K.; Hagenmeyer, V.
2023. doi:10.5445/IR/1000159679

Self-learning Anomaly Detection in Industrial Production. Dissertation
Meshram, A.
2022, November 15. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000152361

A Smart Charging Assistant for Electric Vehicles Considering Battery Degradation, Power Grid and User Constraints. Dissertation
Schwenk, K.
2022, Juli 7. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000148141

On the Detection of Cyber-Attacks in the Communication Network of IEC 61850 Electrical Substations. Dissertation
Elbez, G.
2022, Mai 30. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000146668

Some Notes on Two Tests for Stability in Lossy Power Systems
Gröll, L.; Kastner, A.; Scholl, T. H.; Hagenmeyer, V.
2022. IFAC-PapersOnLine, 55 (40), 247–252. doi:10.1016/j.ifacol.2023.01.080

Distributed Optimal Power Flow for VSC-MTDC Meshed AC/DC Grids Using ALADIN
Zhai, J.; Dai, X.; Jiang, Y.; Xue, Y.; Hagenmeyer, V.; Jones, C. N.; Zhang, X.-P.
2022. IEEE Transactions on Power Systems, 37 (6), 4861–4873. doi:10.1109/TPWRS.2022.3155866

Initial analysis of the impact of the Ukrainian power grid synchronization with Continental Europe
Böttcher, P. C.; Rydin Gorjão, L.; Beck, C.; Jumar, R.; Maass, H.; Hagenmeyer, V.; Witthaut, D.; Schäfer, B.
2022. Energy Advances, 2 (1), 91–97. doi:10.1039/D2YA00150K

Hardware-in-the-loop platforms for the automation and control of future energy systems
Bretschneider, P.; Mikut, R.; Hagenmeyer, V.
2022. at - Automatisierungstechnik, 70 (12), 1031–1033. doi:10.1515/auto-2022-0145

An adapter-based architecture for evaluating candidate solutions in energy system scheduling
Chlosta, M.; Liu, J.; Poppenborg, R.; Lutz, R.; Förderer, K.; Schlachter, T.; Hagenmeyer, V.
2022. Energy Informatics, 5 (S4), 56. doi:10.1186/s42162-022-00246-z

Smart Energy System Control Laboratory : a fully-automated and user-oriented research infrastructure for controlling and operating smart energy systems = Smart Energy System Control Laboratory : hochgradig automatisierte und nutzerorientierte Forschungsinfrastruktur zur Steuerung und zum Betrieb intelligenter Energiesysteme
Wiegel, F.; Wachter, J.; Kyesswa, M.; Mikut, R.; Waczowicz, S.; Hagenmeyer, V.
2022. at - Automatisierungstechnik, 70 (12), 1116–1133. doi:10.1515/auto-2022-0018

Material jetting for advanced applications: A state-of-the-art review, gaps and future directions
Elkaseer, A.; Chen, K. J.; Janhsen, J. C.; Refle, O.; Hagenmeyer, V.; Scholz, S. G.
2022. Additive Manufacturing, 60 (Part A), Art.-Nr.: 103270. doi:10.1016/j.addma.2022.103270

3D Refuse-derived Fuel Particle Tracking-by-Detection Using a Plenoptic Camera System
Zhang, M.; Vogelbacher, M.; Hagenmeyer, V.; Aleksandrov, K.; Gehrmann, H.-J.; Matthes, J.
2022. IEEE Transactions on Instrumentation and Measurement, 71, Art.Nr. 5024815. doi:10.1109/TIM.2022.3217858

A Highspeed‐Camera Based Measurement System for the High‐Pressure Entrained‐Flow Gasification
Matthes, J.; Kollmer, M.; Eberhard, M.; Hagenmeyer, V.; Kolb, T.
2022. Chemical Engineering & Technology, 45 (12), 2313–2322. doi:10.1002/ceat.202200434

Implementation of a Photovoltaic System Model Using FAIR Digital Objects
Schweikert, J.; Stucky, K.-U.; Koubaa, M. A.; Süß, W.; Hagenmeyer, V.
2022. Research Ideas and Outcomes, 8, Art.-nr.: e93929. doi:10.3897/rio.8.e93929

Rapid Scalable Distributed Power Flow with Open-Source Implementation
Dai, X.; Cai, Y.; Jiang, Y.; Hagenmeyer, V.
2022. IFAC-PapersOnLine, 55 (13), 145–150. doi:10.1016/j.ifacol.2022.07.250

Boost short-term load forecasts with synthetic data from transferred latent space information
Heidrich, B.; Mannsperger, L.; Turowski, M.; Phipps, K.; Schäfer, B.; Mikut, R.; Hagenmeyer, V.
2022. Energy Informatics, 5 (S1), Article no: 20. doi:10.1186/s42162-022-00214-7

Net load forecasting using different aggregation levels
Beichter, M.; Phipps, K.; Frysztacki, M. M.; Mikut, R.; Hagenmeyer, V.; Ludwig, N.
2022. Energy Informatics, 5 (S1), Article no: 19. doi:10.1186/s42162-022-00213-8

Review of automated time series forecasting pipelines
Meisenbacher, S.; Turowski, M.; Phipps, K.; Rätz, M.; Müller, D.; Hagenmeyer, V.; Mikut, R.
2022. WIREs Data Mining and Knowledge Discovery, 12 (6), Art.Nr. e1475. doi:10.1002/widm.1475

A Mode-Based Averaged Power Converter Model for Large Transients
Kastner, A.; Gröll, L.; Hagenmeyer, V.
2022. IFAC-PapersOnLine, 10th Vienna International Conference on Mathematical Modelling MATHMOD 2022, Vienna Austria, 27–29 July 2022, Ed.: A. Kugi, 55 (20), 367–372. doi:10.1016/j.ifacol.2022.09.122

Binary Exploitation in Industrial Control Systems: Past, Present and Future
Liu, Q.; Bao, K.; Hagenmeyer, V.
2022. IEEE Access, 10, 48242–48273. doi:10.1109/ACCESS.2022.3171922

A Holistic Consideration of Megawatt Electrolysis as a Key Component of Sector Coupling
Emonts, B.; Müller, M.; Hehemann, M.; Janßen, H.; Keller, R.; Stähler, M.; Stähler, A.; Hagenmeyer, V.; Dittmeyer, R.; Pfeifer, P.; Waczowicz, S.; Rubin, M.; Munzke, N.; Kasselmann, S.
2022. Energies, 15 (10), 3656. doi:10.3390/en15103656

Assessments of linear power flow and transmission loss approximations in coordinated capacity expansion problems
Neumann, F.; Hagenmeyer, V.; Brown, T.
2022. Applied Energy, 314, Art.-Nr.: 118859. doi:10.1016/j.apenergy.2022.118859

Evaluating ensemble post‐processing for wind power forecasts
Phipps, K.; Lerch, S.; Andersson, M.; Mikut, R.; Hagenmeyer, V.; Ludwig, N.
2022. Wind Energy, 25 (8), 1379–1405. doi:10.1002/we.2736

ALDI++: Automatic and parameter-less discord and outlier detection for building energy load profiles
Quintana, M.; Stoeckmann, T.; Park, J. Y.; Turowski, M.; Hagenmeyer, V.; Miller, C.
2022. Energy and Buildings, 265, Art.-Nr.: 112096. doi:10.1016/j.enbuild.2022.112096

Energy informatics – key elements for tomorrow’s energy system
Schmeck, H.; Monti, A.; Hagenmeyer, V.
2022. Communications of the ACM, 65 (4), 58–63. doi:10.1145/3511666

Real-time large-area imaging of the corneal subbasal nerve plexus
Allgeier, S.; Bartschat, A.; Bohn, S.; Guthoff, R. F.; Hagenmeyer, V.; Kornelius, L.; Mikut, R.; Reichert, K.-M.; Sperlich, K.; Stache, N.; Stachs, O.; Köhler, B.
2022. Scientific reports, 12, Article no: 2481. doi:10.1038/s41598-022-05983-5

Integrated concept of local heat transition using geothermal heat production, aquifer storage and optimization of distribution network
Zwickel, P.; Bauer, F.; Schätzler, K.; Steiner, U.; Waczowicz, S.; Hagenmeyer, V.; Schill, E.
2022. European Geothermal Congress 2022 : Berlin, Germany, 17-21 October 2022 : proceedings, European Geothermal Energy Council (EGEC)

Evaluation of Transformer Architectures for Electrical Load Time-Series Forecasting
Hertel, M.; Ott, S.; Schäfer, B.; Mikut, R.; Hagenmeyer, V.; Neumann, O.
2022. Proceedings - 32. Workshop Computational Intelligence: Berlin, 1. - 2. Dezember 2022. Hrsg.: H. Schulte, F. Hoffmann; R. Mikut, 93–110, KIT Scientific Publishing

Comparison of Four-Switch Buck-Boost and Dual Active Bridge Converter for DC Microgrid Applications
Ekin, Ö.; Arena, G.; Waczowicz, S.; Hagenmeyer, V.; Carne, G.
2022. 2022 IEEE 13th International Symposium on Power Electronics for Distributed Generation Systems (PEDG), 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PEDG54999.2022.9923074

An Optimization-based Approach for Automated Generation of Residential Low-Voltage Grid Models Using Open Data and Open Source Software
Cakmak, H. K.; Janecke, L.; Weber, M.; Hagenmeyer, V.
2022. 2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ISGT-Europe54678.2022.9960483

Demand Response in Smart Districts: Model Predictive Control of Building Cooling
Zwickel, P.; Frahm, M.; Galenzowski, J.; Hafele, K.-H.; Maass, H.; Waczowicz, S.; Hagenmeyer, V.
2022. 2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ISGT-Europe54678.2022.9960608

Dynamic Optimization of Energy Hubs with Evolutionary Algorithms Using Adaptive Time Segments and Varying Resolution
Poppenborg, R.; Khalloof, H.; Chlosta, M.; Hofferberth, T.; Düpmeier, C.; Hagenmeyer, V.
2022. Intelligent Data Engineering and Automated Learning – IDEAL 2022 : 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings. Ed.: H. Yin, 513–524, Springer International Publishing. doi:10.1007/978-3-031-21753-1_50

Early Detection of GOOSE Denial of Service (DoS) Attacks in IEC 61850 Substations
Elbez, G.; Nahrstedt, K.; Hagenmeyer, V.
2022. IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids 2022. doi:10.1109/SmartGridComm52983.2022.9961042

Multi-Zone Grey-Box Thermal Building Identification with Real Occupants
Frahm, M.; Meisenbacher, S.; Klumpp, E.; Mikut, R.; Matthes, J.; Hagenmeyer, V.
2022. Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, BuildSys 2022, Boston, MA, USA, 09.11.2022-10.11.2022. Ed.: J. Ortiz, 484–487, Association for Computing Machinery (ACM). doi:10.1145/3563357.3567403

Hardware Realization of Participants in an Energy Packet-based Power Grid
Schulz, D.; Schneider, K.; Weßbecher, M.; Hagenmeyer, V.; Zitterbart, M.; Hiller, M.
2022. IEEE 13th International Symposium on Power Electronics for Distributed Generation Systems (PEDG), 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PEDG54999.2022.9923290

Fast Grid State Estimation for Power Networks: An Ensemble Machine Learning Approach
Shahoud, S.; Khalloof, H.; Khalouf, R.; Düpmeier, C.; Cakmak, H. K.; Forderer, K.; Hagenmeyer, V.
2022. 2022 IEEE 10th International Conference on Smart Energy Grid Engineering (SEGE), 12–18, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SEGE55279.2022.9889763

A Photovoltaic System Model Integration FAIR Digital Objects and Ontologies
Schweikert, J.; Stucky, U.; Süß, W.; Hagenmeyer, V.
2022. 2022 IEEE 10th International Conference on Smart Energy Grid Engineering (SEGE), Oshawa, ON, Canada, 10-12 August 2022, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SEGE55279.2022.9889768

Energy Hub Gas: A Modular Setup for the Evaluation of Local Flexibility and Renewable Energy Carriers Provision
Poppenborg, R.; Chlosta, M.; Ruf, J.; Hotz, C.; Düpmeier, C.; Kolb, T.; Hagenmeyer, V.
2022. 2022 IEEE 10th International Conference on Smart Energy Grid Engineering (SEGE), 33–41, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SEGE55279.2022.9889751

Development and Validation of Grey-Box Multi-Zone Thermal Building Models
Frahm, M.; Klumpp, E.; Meisenbacher, S.; Matthes, J.; Mikut, R.; Hagenmeyer, V.
2022. Proceedings of BauSim Conference 2022 : 9th Conference of IBPSA-Germany and Austria, 20-22 September 2022, Bauhaus Universität Weimar. C. Völker, 346–351, International Building Performance Simulation Association (IBPSA). doi:10.26868/29761662.2022.22

Boost short-term load forecasts with synthetic data from transferred latent space information
Heidrich, B.; Mannsperger, L.; Turowski, M.; Phipps, K.; Schäfer, B.; Mikut, R.; Hagenmeyer, V.
2022. DACH+ Conference on Energy Informatics German Federal Ministry for Economic Affairs and Energy

Integration of Monitoring Data into a Virtual 3D Campus Model
Häfele, K.-H.; Geiger, A.; Kaiser, F.-J.; Hagenmeyer, V.
2022. Proceedings of BauSim Conference 2022: 9th Conference of IBPSA-Germany and Austria, International Building Performance Simulation Association (IBPSA). doi:10.26868/29761662.2022.32

Usage Profile Enrichment of CityGML Models for Urban Building Energy Modeling
Geiger, A.; Nichersu, A.; Häfele, K.-H.; Hagenmeyer, V.
2022. Proceedings of BauSim Conference 2022: 9th Conference of IBPSA-Germany and Austria, International Building Performance Simulation Association (IBPSA). doi:10.26868/29761662.2022.28

Facilitating the hybridization of parallel evolutionary algorithms in cluster computing environments
Khalloof, H.; Ciftci, S.; Shahoud, S.; Duepmeier, C.; Foerderer, K.; Hagenmeyer, V.
2022. GECCO ’22: Proceedings of the Genetic and Evolutionary Computation Conference Companion. Ed.: J. E. Fieldsend, 2001–2008, Association for Computing Machinery (ACM). doi:10.1145/3520304.3533997

Modelling power systems as flat hybrid automata for controlled line switching
Zahn, F.; Hagenmeyer, V.
2022. e-Energy ’22: Proceedings of the Thirteenth ACM International Conference on Future Energy Systems, 302–306, Association for Computing Machinery (ACM). doi:10.1145/3538637.3538859

Towards line-restricted dispatchable feeders using probabilistic forecasts for PV-dominated low-voltage distribution grids
Werling, D.; Heidrich, B.; Çakmak, H. K.; Hagenmeyer, V.
2022. e-Energy ’22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022- 1 July 2022. Ed.: S. Lehnhoff, 395–400, Association for Computing Machinery (ACM). doi:10.1145/3538637.3538868

Analytical uncertainty propagation and storage usage in a high RES Turkish transmission grid scenario
Bauer, R.; Mühlpfordt, T.; Ludwig, N.; Hagenmeyer, V.
2022. e-Energy ’22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022- 1 July 2022. Ed.: S. Lehnhoff, 489–495, Association for Computing Machinery (ACM). doi:10.1145/3538637.3539762

Enhancing anomaly detection methods for energy time series using latent space data representations
Turowski, M.; Heidrich, B.; Phipps, K.; Schmieder, K.; Neumann, O.; Mikut, R.; Hagenmeyer, V.
2022. e-Energy ’22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022- 1 July 2022. Ed.: S. Lehnhoff, 208–227, Association for Computing Machinery (ACM). doi:10.1145/3538637.3538851

Modeling and Generating Synthetic Anomalies for Energy and Power Time Series
Turowski, M.; Weber, M.; Neumann, O.; Heidrich, B.; Phipps, K.; Çakmak, H. K.; Mikut, R.; Hagenmeyer, V.
2022. e-Energy ’22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022- 1 July 2022. Ed.: S. Lehnhoff, 471–484, Association for Computing Machinery (ACM). doi:10.1145/3538637.3539760

Adaptively coping with concept drifts in energy time series forecasting using profiles
Heidrich, B.; Ludwig, N.; Turowski, M.; Mikut, R.; Hagenmeyer, V.
2022. e-Energy ’22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022- 1 July 2022. Ed.: S. Lehnhoff, 459–470, Association for Computing Machinery (ACM). doi:10.1145/3538637.3539759

Occupant-oriented economic model predictive control for demand response in buildings
Frahm, M.; Zwickel, P.; Wachter, J.; Langner, F.; Strauch, P.; Matthes, J.; Hagenmeyer, V.
2022. e-Energy ’22: Proceedings of the Thirteenth ACM International Conference on Future Energy Systems, 354–360, Association for Computing Machinery (ACM). doi:10.1145/3538637.3538864

VILLASnode-based Co-simulation of Local Energy Communities
Carta, D.; Weber, M.; Glucker, P.; Pesch, T.; Hagenmeyer, V.; Benigni, A.; Kuhnapfel, U.
2022. 2022 Open Source Modelling and Simulation of Energy Systems (OSMSES): April 4–5, 2022, Aachen, Germany, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/OSMSES54027.2022.9768933

Using Open Data for Modeling and Simulation of the All Electrical Society in eASiMOV
Çakmak, H. K.; Hagenmeyer, V.
2022. 2022 Open Source Modelling and Simulation of Energy Systems (OSMSES), 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/OSMSES54027.2022.9769145

How to Derive and Implement a Minimalistic RC Model from Thermodynamics for the Control of Thermal Parameters for Assuring Thermal Comfort in Buildings
Frahm, M.; Langner, F.; Zwickel, P.; Matthes, J.; Mikut, R.; Hagenmeyer, V.
2022. 2022 Open Source Modelling and Simulation of Energy Systems (OSMSES), 6 S., Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/OSMSES54027.2022.9769134

Experimental Evaluation and Systematic-Error Reduction of Frequency Estimation Using the Zero-Crossing Technique for Dynamic Power Grids
Förstner, E.; JUmar, R.; Tanrikulu, O. D.; Maaß, H.; Kühnapfel, U.; Hagenmeyer, V.
2022. The 2022 International Conference on Smart Grid Synchronized Measurements and Analytics – SGSMA, Split, Croatia, May 24h - 26th 2022, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SGSMA51733.2022.9806021

Microservice-Based Architecture for the Integration of Data Backends and Dashboard Applications in the Energy and Environment Domains
Sidler, J.; Braun, E.; Schmitt, C.; Schlachter, T.; Hagenmeyer, V.
2022. Advances and New Trends in Environmental Informatics. Ed.: V. Wohlgemuth, 37–48, Springer International Publishing. doi:10.1007/978-3-030-88063-7

Rapid Scalable Distributed Power Flow with Open-Source Implementation
Dai, X.; Cai, Y.; Jiang, Y.; Hagenmeyer, V.
2022

Review of automated time series forecasting pipelines
Meisenbacher, S.; Turowski, M.; Phipps, K.; Rätz, M.; Hagenmeyer, V.; Müller, D.; Mikut, R.
2022. Karlsruher Institut für Technologie (KIT). doi:10.48550/arXiv.2202.01712

What ODE-Approximation Schemes of Time-Delay Systems Reveal about Lyapunov-Krasovskii Functionals
Scholl, T.; Hagenmeyer, V.; Gröll, L.
2022

Transformer Neural Networks for Building Load Forecasting
Hertel, M.; Ott, S.; Neumann, O.; Schäfer, B.; Mikut, R.; Hagenmeyer, V.
2022. 36th Annual Conference on Neural Information Processing Systems (NIPS 2022), Online, 28. November–9. Dezember 2022

Digital, Scalable Manufacturing - A Sustainable Production Scenario Using Collaborative Robotics and Additive Manufacturing
Müller, T.; Schmidt, A.; Scholz, S.; Hagenmeyer, V.
2022, September 14. 9th International Conference on Sustainable Design and Manufacturing (KES SDM-22 2022), Split / Dalmatien, Kroatien, 14.–16. September 2022

Energy Hub Gas: A Modular Setup for the Evaluation of Local Flexibility and Renewable Energy Carriers Provision
Poppenborg, R.; Chlosta, M.; Ruf, J.; Hotz, C.; Düpmeier, C.; Kolb, T.; Hagenmeyer, V.
2022. 10th IEEE International Conference on Smart Energy Grid Engineering (SEGE 2022), Oshawa, Kanada, 10.–12. August 2022

Sector Coupling Between Buildings and Energy System
Hagenmeyer, V.
2022, April 28. Lecture Series Enabling Net Zero (2022), Karlsruher Institut für Technologie, 28. April–28. Juli 2022

Automating Time Series Analysis Workflows with pyWATTS
Heidrich, B.; Phipps, K.; Neumann, O.; Meisenbacher, S.; Turowski, M.; Mikut, R.; Hagenmeyer, V.
2022, Juni. Helmholtz Artificial Intelligence Conference (Helmholtz AI 2022), Dresden, Deutschland, 2.–3. Juni 2022

Comparison of Four-Switch Buck-Boost and Dual Active Bridge Converter for DC Microgrid Applications
Ekin, Ö.; Arena, G.; Waczowicz, S.; Hagenmeyer, V.; Carne, G.
2022, Juni 26. 13th International Symposium on Power Electronics for Distributed Generation Systems (PEDG 2022), Kiel, Deutschland, 26.–29. Juni 2022

Hybrid Intrusion Detection System for Smart Grids
Mumrez, A.; Khosravi, H.; Elbez, G.; Hagenmeyer, V.
2022, Mai 4. 1st CyberSecurity in Energy and Production Conference (2022), Karlsruhe, Deutschland, 4. Mai 2022

Preliminary study for an alarm correlation framework based on risk assessment in IEC 61850 substations
Canbolat, S.; Elbez, G.; Hagenmeyer, V.
2022, Mai 4. 1st CyberSecurity in Energy and Production Conference (2022), Karlsruhe, Deutschland, 4. Mai 2022

Predicting the power grid frequency of European islands
Lund Onsaker, T.; Nygård, H. S.; Gomila, D.; Colet, P.; Mikut, R.; Jumar, R.; Kühnapfel, U.; Maass, H.; Hagenmeyer, V.; Witthaut, D.; Schäfer, B.
2022, September 27. doi:10.48550/arXiv.2209.15414

Dynamic Model Based Detection of Cyberattacks in Industrial Facilities
Reibelt, K.; Keller, H. B.; Hagenmeyer, V.; Matthes, J.
2021. 31st European Symposium on Computer Aided Process Engineering: ESCAPE-31. Ed.: M. Türkay, 1339–1344, Elsevier. doi:10.1016/B978-0-323-88506-5.50206-0

Computational and Near-Optimal Trade-Offs in Renewable Electricity System Modelling. Dissertation
Neumann, F.
2021, September 13. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000137267

Engineering of Reliable and Secure Software via Customizable Integrated Compilation Systems. Dissertation
Scherer, O.
2021, Juni 28. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000134165

A Parallel Hybrid Method for Fast Analysis of Power System Dynamics. Dissertation
Kyesswa, M.
2021, Januar 21. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000128495

Structure Exploitation in Mixed-Integer Optimization with Applications to Energy Systems. Dissertation
Murray, A.
2021, Januar 27. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000125528

Wertstromkinematik – Produktionssysteme neu gedacht: Interdisziplinäres Forscherteam arbeitet an der Produktionstechnik der Zukunft (Teil 2)
Kimmig, A.; Schöck, M.; Mühlbeier, E.; Oexle, F.; Fleischer, J.; Bönsch, J.; Ovtcharova, J.; Hahn, J.; Grunwald, A.; Albers, A.; Rapp, S.; Hagenmeyer, V.; Scholz, S. G.; Schmidt, A.; Müller, T.; Becker, J.; Schade, F.; Beyerer, J.; Rehak, J.; Zwick, T.; Pauli, M.; Nuß, B.; Lanza, G.; Schild, L.; Overbeck, L.
2021. Zeitschrift für wirtschaftlichen Fabrikbetrieb, 116 (12), 935–939. doi:10.1515/zwf-2021-0207

A generic flexible and scalable framework for hierarchical parallelization of population-based metaheuristics
Khalloof, H.; Mohammad, M.; Shahoud, S.; Duepmeier, C.; Hagenmeyer, V.
2021. Internet of Things, 16, Art.-Nr. 100433. doi:10.1016/j.iot.2021.100433

Automated generation of models for demand side flexibility using machine learning – an overview
Förderer, K.; Hagenmeyer, V.; Schmeck, H.
2021. ACM SIGEnergy Energy Informatics Review, 1 (1), 107–120. doi:10.1145/3508467.3508477

Machine learning methods for automated classification of tumors with papillary thyroid carcinoma-like nuclei : A quantitative analysis
Böhland, M.; Tharun, L.; Scherr, T.; Mikut, R.; Hagenmeyer, V.; Thompson, L. D. R.; Perner, S.; Reischl, M.
2021. PLOS ONE, 16 (9), e0257635. doi:10.1371/journal.pone.0257635

An extended Meta Learning Approach for Automating Model Selection in Big Data Environments using Microservice and Container Virtualizationz Technologies
Shahoud, S.; Winter, M.; Khalloof, H.; Duepmeier, C.; Hagenmeyer, V.
2021. Internet of Things (Netherlands), 16, Art.Nr. 100432. doi:10.1016/j.iot.2021.100432

Time-Delay Identification and Validation of a Liquid Film Transport Model based on Pilot Plant Experiments
Hofmann, J.; Ponomarev, A.; Hagenmeyer, V.; Gröll, L.
2021. IFAC-PapersOnLine, 54 (3), 401–408. doi:10.1016/j.ifacol.2021.08.275

A new multivariable control concept for the falling film evaporator process
Hofmann, J.; Ponomarev, A.; Hagenmeyer, V.; Gröll, L.
2021. Journal of process control, 106, 72–83. doi:10.1016/j.jprocont.2021.08.015

Probabilistic forecasts of the distribution grid state using data-driven forecasts and probabilistic power flow
González-Ordiano, J. Á.; Mühlpfordt, T.; Braun, E.; Liu, J.; Çakmak, H.; Kühnapfel, U.; Düpmeier, C.; Waczowicz, S.; Faulwasser, T.; Mikut, R.; Hagenmeyer, V.; Appino, R. R.
2021. Applied energy, 302, Art.-Nr.: 117498. doi:10.1016/j.apenergy.2021.117498

Integrating Battery Aging in the Optimization for Bidirectional Charging of Electric Vehicles
Schwenk, K.; Meisenbacher, S.; Briegel, B.; Harr, T.; Hagenmeyer, V.; Mikut, R.
2021. IEEE transactions on smart grid, 12 (6), 5135–5145. doi:10.1109/TSG.2021.3099206

Data-Driven Copy-Paste Imputation for Energy Time Series
Weber, M.; Turowski, M.; Çakmak, H. K.; Mikut, R.; Kühnapfel, U.; Hagenmeyer, V.
2021. IEEE transactions on smart grid, 12 (6), 5409–5419. doi:10.1109/TSG.2021.3101831

Characterization of Aggregated Building Heating, Ventilation, and Air Conditioning Load as a Flexibility Service Using Gray‐Box Modeling
Kohlhepp, P.; Gröll, L.; Hagenmeyer, V.
2021. Energy technology, 9 (9), Art.-Nr.: 2100251. doi:10.1002/ente.202100251

Down-facing surfaces in laser powder bed fusion of Ti6Al4V: Effect of dross formation on dimensional accuracy and surface texture
Charles, A. P.; Elkaseer, A.; Paggi, U.; Thijs, L.; Hagenmeyer, V.; Scholz, S.
2021. Additive manufacturing, 46, Article: 102148. doi:10.1016/j.addma.2021.102148

Mitigating heat demand peaks in buildings in a highly renewable European energy system
Zeyen, E.; Hagenmeyer, V.; Brown, T.
2021. Energy, 231, Artice: 120784. doi:10.1016/j.energy.2021.120784

Partially distributed outer approximation
Murray, A.; Faulwasser, T.; Hagenmeyer, V.; Villanueva, M. E.; Houska, B.
2021. Journal of Global Optimization, 80 (3), 523–550. doi:10.1007/s10898-021-01015-0

Distributed power flow and distributed optimization – formulation, solution, and open source implementation
Mühlpfordt, T.; Dai, X.; Engelmann, A.; Hagenmeyer, V.
2021. Sustainable energy, grids and networks, 26, Article no: 100471. doi:10.1016/j.segan.2021.100471

The strong effect of network resolution on electricity system models with high shares of wind and solar
Frysztacki, M. M.; Hörsch, J.; Hagenmeyer, V.; Brown, T.
2021. Applied energy, 291, Article: 116726. doi:10.1016/j.apenergy.2021.116726

A Review of Rule Learning Based Intrusion Detection Systems and Their Prospects in Smart Grids
Liu, Q.; Hagenmeyer, V.; Keller, H. B.
2021. IEEE access, 9, 57542–57564. doi:10.1109/ACCESS.2021.3071263

Energy-based stochastic MPC for integrated electricity-hydrogen VPP in real-time markets
Appino, R. R.; Wang, H.; González Ordiano, J. Á.; Faulwasser, T.; Mikut, R.; Hagenmeyer, V.; Mancarella, P.
2021. Electric power systems research, ^95, Art.Nr. 106738. doi:10.1016/j.epsr.2020.106738

Energy Pulsation Reduction in Modular Multilevel Converters Using Optimized Current Trajectories
Bräckle, D.; Himmelmann, P.; Gröll, L.; Hagenmeyer, V.; Hiller, M.
2021. IEEE Open Journal of Power Electronics, 2, 171–186. doi:10.1109/OJPEL.2021.3065115

Towards Optimality Preserving Aggregation for Scheduling Distributed Energy Resources
Appino, R. R.; Hagenmeyer, V.; Faulwasser, T.
2021. IEEE transactions on control of network systems, 8 (3), 1477–1488. doi:10.1109/TCNS.2021.3070664

A Novel Receiver Design for Energy Packet‐Based Dispatching
Wiegel, F.; De Din, E.; Monti, A.; Wehrle, K.; Hiller, M.; Zitterbart, M.; Hagenmeyer, V.
2021. Energy technology, 9 (2), Art.-Nr. 2000937. doi:10.1002/ente.202000937

Cuepervision: self-supervised learning for continuous domain adaptation without catastrophic forgetting
Schutera, M.; Hafner, F. M.; Abhau, J.; Hagenmeyer, V.; Mikut, R.; Reischl, M.
2021. Image and vision computing, 106, Article no: 104079. doi:10.1016/j.imavis.2020.104079

Mitigating heat demand peaks in buildings in a highly renewable European energy system
Zeyen, E.; Hagenmeyer, V.; Brown, T.
2021. Applied energy, 231, Art.Nr. 120784

A Benchmark for Parking Duration Prediction of Electric Vehicles for Smart Charging Applications
Schwenk, K.; Phipps, K.; Briegel, B.; Hagenmeyer, V.; Mikut, R.
2021. 2021 IEEE Symposium Series on Computational Intelligence (SSCI), Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SSCI50451.2021.9660063

Quality Check of openBIM Input Data for Thermal Building Simulation based on mvdXML
Geiger, A.; Häfele, K.-H.; Hagenmeyer, V.
2021. Proceedings of Building Simulation 2021: 17th Conference of IBPSA, 1671–1678, International Building Performance Simulation Association (IBPSA). doi:10.26868/25222708.2021.30501

Enabling Sustainability-Driven Control Strategies in Multimodal Energy Systems Simulations
Erdmann, A.; Kyesswa, M.; Çakmak, H. K.; Hagenmeyer, V.
2021. IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), 937–942, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ISGTEurope52324.2021.9639920

Smart Data Representations: Impact on the Accuracy of Deep Neural Networks
Neumann, O.; Turowski, M.; Ludwig, N.; Heidrich, B.; Hagenmeyer, V.; Mikut, R.
2021. Proceedings - 31. Workshop Computational Intelligence : Berlin, 25. - 26. November 2021. Hrsg.: H. Schulte; F. Hoffmann; R. Mikut, 113–130, KIT Scientific Publishing

A Lightweight User Interface for Smart Charging of Electric Vehicles: A Real-World Application
Meisenbacher, S.; Schwenk, K.; Galenzowski, J.; Waczowicz, S.; Mikut, R.; Hagenmeyer, V.
2021. 2021 9th International Conference on Smart Grid and Clean Energy Technologies (ICSGCE), 57–61, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICSGCE52779.2021.9621604

Concepts for Automated Machine Learning in Smart Grid Applications
Meisenbacher, S.; Pinter, J.; Martin, T.; Hagenmeyer, V.; Mikut, R.
2021. Proceedings - 31. Workshop Computational Intelligence : Berlin, 25. - 26. November 2021. Hrsg.: H. Schulte; F. Hoffmann; R. Mikut, 11–35, KIT Scientific Publishing

Case Study of Designing a Locally Distributed Real-Time Infrastructure
Weber, M.; Kyesswa, M.; Kühnapfel, U.; Hagenmeyer, V.; Çakmak, H. K.
2021. IEEE Toronto Section, 20 th- 21st October 2021, 310–315, IEEEXplore. doi:10.1109/EPEC52095.2021.9621665

Designing the Interplay of Energy Plane and Communication Plane in the Energy Packet Grid
Schneider, K.; Wiegel, F.; Schulz, D.; Hagenmeyer, V.; Hiller, M.; Bless, R.; Zitterbart, M.
2021. 2021 IEEE 46th Conference on Local Computer Networks (LCN), 331–334, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/LCN52139.2021.9525020

An evaluation of graph algorithms for the wind farm cable layout problem under electrical aspects
Gritzbach, S.; Cakmak, H.; Mehnert, P.; Ueckerdt, T.; Hagenmeyer, V.
2021. 2021 56th International Universities Power Engineering Conference (UPEC): 31 Aug.-3 Sept. 2021, online, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/UPEC50034.2021.9548251

Adaptive Feedforward Control for DC/DC Converters in Microgrids - A Power Hardware in the Loop Study
Wachter, J.; Gröll, L.; Hagenmeyer, V.
2021. 9th International Conference on Smart Grid (icSmartGrid), 29th June - 01st July 2021, Sebútal, Portugal, 49–56, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/icSmartGrid52357.2021.9551250

A Bayesian Rule Learning Based Intrusion Detection System for the MQTT Communication Protocol
Liu, Q.; Keller, H. B.; Hagenmeyer, V.
2021. ARES 2021 : the 16th International Conference on Availability, Reliability and Security, Wien, A, August 17-20, 2021, Article no: 81, Association for Computing Machinery (ACM). doi:10.1145/3465481.3470046

The effects of pattern screen surface deformation on deflectometric measurements - A simulation study
Allgeier, S.; Gengenbach, U.; Köhler, B.; Reichert, K.-M.; Hagenmeyer, V.
2021. Automated Visual Inspection and Machine Vision IV: SPIE Optical Metrology, 21-26 June 2021. Ed.: J. Beyerer, Art.-Nr.: 1178708, Society of Photo-optical Instrumentation Engineers (SPIE). doi:10.1117/12.2591877

Modeling of a distillation column without measurement data
Schaßberger, J.; Hagenmeyer, V.; Gröll, L.
2021. Internatiional Scientific Conference on Control Processes and Stability, 167–173, Publishing House Fedorova G.V

Smart Charging of Electric Vehicles with Cloud-based Optimization and a Lightweight User Interface – A Real-World Application in the Energy Lab 2.0: Poster
Meisenbacher, S.; Schwenk, K.; Galenzowski, J.; Waczowicz, S.; Mikut, R.; Hagenmeyer, V.
2021. e-Energy ’21: The Twelfth ACM International Conference on Future Energy Systems Virtual Event Italy 28 June 2021- 2 July 2021, 284–285, Association for Computing Machinery (ACM). doi:10.1145/3447555.3466571

Energy Hub Gas : A Multi-Domain System Modelling and Co-Simulation Approach
Poppenborg, R.; Ruf, J.; Chlosta, M.; Liu, J.; Hotz, C.; Düpmeier, C.; Kolb, T.; Hagenmeyer, V.
2021. Proceedings of the 9th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems (MSCPES ’21), Art.Nr. 12, Association for Computing Machinery (ACM). doi:10.1145/3470481.3472712

Control Loop Pairing and Interaction Analyses of the Falling Film Evaporator Process
Hofmann, J.; Gröll, L.; Hagenmeyer, V.
2021. Proceedings of the 23rd International Conference on Process Control, 2021. Ed.: R. Paulen, 186–193, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PC52310.2021.9447487

Realtime Testbench for Inverters - A Sliding Mode Control Experiment
Wachter, J.; Gröll, L.; Hagenmeyer, V.
2021. 52th International Scientific Conference on Control Processes and Stability (CPS’21), St. Petersburg, RUS, April 5-9, 2021, 93–99, Publishing House Fedorova G.V

Abstractions in Modeling of Switching DC/AC Power Converters
Kastner, A.; Gröll, L.; Hagenmeyer, V.
2021. Control Processes and Stability : Proceedings of the LII International Conference. St. Petersburg April 5–9, 2021. Ed.: N. Smirnov, 85–92, Publishing House Fedorova G.V

On Optimal Grid Partitioning for Distributed Optimization of Reactive Power Dispatch
Murray, A.; Kyesswa, M.; Çakmak, H.; Hagenmeyer, V.
2021. IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), 16-18 February, 2021, Washington, DC, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ISGT49243.2021.9372275

A Generic Scalable Method for Scheduling Distributed Energy Resources Using Parallelized Population-Based Metaheuristics
Khalloof, H.; Jakob, W.; Shahoud, S.; Duepmeier, C.; Hagenmeyer, V.
2021. Proceedings of the Future Technologies Conference (FTC) 2020, Volume 2. Ed.: K. Arai, 1–21, Springer Nature. doi:10.1007/978-3-030-63089-8_1

Incorporating Unsupervised Deep Learning into Meta Learning for Energy Time Series Forecasting
Shahoud, S.; Khalloof, H.; Duepmeier, C.; Hagenmeyer, V.
2021. Proceedings of the Future Technologies Conference (FTC) 2020, Volume 1. Ed.: K. Arai, 326–345, Springer Nature. doi:10.1007/978-3-030-63128-4_25

pyWATTS: Python Workflow Automation Tool for Time Series
Heidrich, B.; Bartschat, A.; Turowski, M.; Neumann, O.; Phipps, K.; Meisenbacher, S.; Schmieder, K.; Ludwig, N.; Mikut, R.; Hagenmeyer, V.
2021. Cornell University

Digital twins of large scale energy grids
Hagenmeyer, V.
2021, Dezember 6. 3rd 3rd CASUS Annual Workshop with this year’s topic “Digital Twins of Complex Systems” (2021), Online, 6.–9. Dezember 2021

Microservice-based Architecture for the Integration of Data Backends and Dashboard Applications in the Energy and Environment Domains
Sidler, J.; Braun, E.; Schmitt, C.; Schlachter, T.; Hagenmeyer, V.
2021, September 27. 35th Environmental Informatics : A bogeyman or saviour to achieve the UN Sustainable Development Goals? (EnviroInfo 2021), Berlin, Deutschland, 27.–29. September 2021

Dynamic Model Based Detection of Cyberattacks in Industrial Facilities
Reibelt, K.; Keller, H. B.; Hagenmeyer, V.; Matthes, J.
2021, Juni 8. 31st European Symposium on Computer Aided Process Engineering (ESCAPE 2021), Istanbul, Türkei, 6.–9. Juni 2021

Unravelling the opposing effects of network clustering on electricity system models with high shares of renewables
Frysztacki, M.; Hörsch, J.; Hagenmeyer, V.; Brown, T.
2021, April. European Geosciences Union General Assembly (EGU 2021), Online, 19.–30. April 2021

A New Distributed Co-Simulation Architecture for Multi-Physics based Energy Systems Integration
Çakmak, H.; Erdmann, A.; Kyesswa, M.; Kühnapfel, U.; Hagenmeyer, V.
2021, Februar 25. 55. Regelungstechnisches Kolloquium (2021), Online, 25. Februar 2021

Software Toolkit for Visualization and Process Selection for Modular Scalable Manufacturing of 3D Micro-Devices
Scholz, S.; Elkaseer, A.; Salem, M.; Hagenmeyer, V.
2020. Information Systems Architecture and Technology: Proceedings of 40th Anniversary International Conference on Information Systems Architecture and Technology – ISAT 2019. Ed.: L. Borzemski, 160–172, Springer International Publishing. doi:10.1007/978-3-030-30440-9_16

Microservice-based Reference Architecture for Semantics-aware Measurement Systems. Dissertation
Braun, E.
2020, November 17. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000125950

Data-Driven Methods for Demand-Side Flexibility in Energy Systems. Dissertation
Ludwig, N. N.
2020, September 30. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000123985

Uncertainty Quantification via Polynomial Chaos Expansion – Methods and Applications for Optimization of Power Systems. Dissertation
Mühlpfordt, T.
2020. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000104661

Dynamic modelling and control for assessment of large-scale wind and solar integration in power systems
Kyesswa, M.; Çakmak, H.; Kühnapfel, U.; Hagenmeyer, V.
2020. IET Renewable Power Generation, 14 (19), 4010–4018. doi:10.1049/iet-rpg.2020.0458

Open database analysis of scaling and spatio-temporal properties of power grid frequencies
Rydin Gorjão, L.; Jumar, R.; Maass, H.; Hagenmeyer, V.; Yalcin, G. C.; Kruse, J.; Timme, M.; Beck, C.; Witthaut, D.; Schäfer, B.
2020. Nature Communications, 11 (1), Art.-Nr. 6362. doi:10.1038/s41467-020-19732-7

Impact of grid partitioning algorithms on combined distributed AC optimal power flow and parallel dynamic power grid simulationn
Kyesswa, M.; Murray, A.; Schmurr, P.; Cakmak, H.; Kühnapfel, U.; Hagenmeyer, V.
2020. IET generation, transmission and distribution, 14 (25), 6133–6141. doi:10.1049/iet-gtd.2020.1393

On modelling effects in the battery and thermal storage scheduling problem
Murray, A.; Schütz, T.; Pan, G.; Müller, D.; Hagenmeyer, V.
2020. Journal of building performance simulation, 14 (1), 38–51. doi:10.1080/19401493.2020.1838611

On complexity reduction of the discrete-event subsystem of Flat Hybrid Automata for control design
Kleinert, T.; Zahn, F.; Hagenmeyer, V.
2020. Automatisierungstechnik, 68 (7), 529–540. doi:10.1515/auto-2020-0061

Detection of DoS Attacks Using ARFIMA Modeling of GOOSE Communication in IEC 61850 Substations
Elbez, G.; Keller, H. B.; Bohara, A.; Nahrstedt, K.; Hagenmeyer, V.
2020. Energies, 13 (19), Art.-Nr. 5176. doi:10.3390/en13195176

Grundprinzipien für die Abschätzung von Einzugsbereichen in Totzeitsystemen
Scholl, T. H.; Hagenmeyer, V.; Gröll, L.
2020. Automatisierungstechnik, 68 (8), 667–686. doi:10.1515/auto-2020-0034

On polynomial real-time control policies in stochastic AC optimal power flow
Mühlpfordt, T.; Faulwasser, T.; Hagenmeyer, V.; Roald, L.; Misra, S.
2020. Electric power systems research, 189, Art.-Nr.: 106792. doi:10.1016/j.epsr.2020.106792

Automated fabrication of hybrid printed electronic circuits
Gengenbach, U.; Ungerer, M.; Koker, L.; Reichert, K.-M.; Stiller, P.; Allgeier, S.; Köhler, B.; Zhu, X.; Huang, C.; Hagenmeyer, V.
2020. Mechatronics, 70, 102403. doi:10.1016/j.mechatronics.2020.102403

Transportmodelle für Flüssigkeitsfilme
Hofmann, J.; Ponomarev, A.; Hagenmeyer, V.; Gröll, L.
2020. Automatisierungstechnik, 68 (8), 625–640. doi:10.1515/auto-2020-0016

Recent Developments in Ozone Sensor Technology for Medical Applications
Petani, L.; Koker, L.; Herrmann, J.; Hagenmeyer, V.; Gengenbach, U.; Pylatiuk, C.
2020. Micromachines, 11 (6), Article: 624. doi:10.3390/mi11060624

The bioliq® Entrained-Flow Gasifier - A Model for the German Energiewende
Eberhard, M.; Santo, U.; Michelfelder, B.; Günther, A.; Weigand, P.; Matthes, J.; Waibel, P.; Hagenmeyer, V.; Kolb, T.
2020. ChemBioEng reviews, 7 (4), 1–14. doi:10.1002/cben.202000006

A Novel Optimization Method for Urban Resilient and Fair Power Distribution Preventing Critical Network States
Ottenburger, S. S.; Çakmak, H. K.; Jakob, W.; Blattmann, A.; Trybushnyi, D.; Raskob, W.; Kühnapfel, U.; Hagenmeyer, V.
2020. International journal of critical infrastructure protection, 29, Art.Nr. 100354. doi:10.1016/j.ijcip.2020.100354

On norm-based estimations for domains of attraction in nonlinear time-delay systems
Scholl, T. H.; Hagenmeyer, V.; Gröll, L.
2020. Nonlinear dynamics, 100, 2027–2045. doi:10.1007/s11071-020-05620-8

Model compendium, data, and optimization benchmarks for sector-coupled energy systems
Sass, S.; Faulwasser, T.; Hollermann, D. E.; Kappatou, C. D.; Sauer, D.; Schütz, T.; Shu, D. Y.; Bardow, A.; Gröll, L.; Hagenmeyer, V.; Müller, D.; Mitsos, A.
2020. Computers & chemical engineering, 135, Art. Nr.: 106760. doi:10.1016/j.compchemeng.2020.106760

Probabilistic energy forecasting using the nearest neighbors quantile filter and quantile regression
González Ordiano, J. Á.; Gröll, L.; Mikut, R.; Hagenmeyer, V.
2020. International journal of forecasting, 36 (2), 310–323. doi:10.1016/j.ijforecast.2019.06.003

A Generic Flexible and Scalable Framework for Hierarchical Parallelization of Population-Based Metaheuristics
Khalloof, H.; Mohammad, M.; Shahoud, S.; Duepmeier, C.; Hagenmeyer, V.
2020. Proceedings of the 12th International Conference on Management of Digital EcoSystems (MEDES’20), 2nd - 4th November 2020, Online. Ed.: Richard Chbeir, 124–131, Association for Computing Machinery (ACM). doi:10.1145/3415958.3433041

Polychaos.jl - A Julia package for polynomial chaos in systems and control
Mühlpfordt, T.; Zahn, F.; Hagenmeyer, V.; Faulwasser, T.
2020. 21th IFAC World Congress. Ed.: R. Findeisen, 7210–7216, Elsevier. doi:10.1016/j.ifacol.2020.12.552

Potential of Ensemble Copula Coupling for Wind Power Forecasting
Phipps, K.; Ludwig, N.; Hagenmeyer, V.; Mikut, R.
2020. Proceedings - 30. Workshop Computational Intelligence : Berlin, 26. - 27. November 2020, 87–109, KIT Scientific Publishing

WaSam, a Modularly Designed Fluid Downhole Sampler for Deep Geothermal Applications
Berentelg, G.; Spatafora, L.; Hagenmeyer, V.
2020. Geothermal Resources Council Virtual Annual Meeting and Expo: Clean, Renewable and Always On, GRC 2020; Virtual, Online; ; 19 October 2020 through 23 October 2020, 535–541, Geothermal Resources Council (GRC)

On Grid Partitioning in AC Optimal Power Flow
Murray, A.; Kyesswa, M.; Schmurr, P.; Cakmak, H.; Hagenmeyer, V.
2020. IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe), 524–528, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ISGT-Europe47291.2020.9248824

Towards Smart Buildings: A Versatile Acquisition Setup for Indoor Climate Data
Sauer, D.; Jumar, R.; Lutz, R.; Schlachter, T.; Schmitt, C.; Hagenmeyer, V.
2020. 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), The Hague, Netherlands, Netherlands, 26-28 Oct. 2020, 1196–1200, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ISGT-Europe47291.2020.9248925

Point and contextual anomaly detection in building load profiles of a university campus
Wang, L.; Turowski, M.; Zhang, M.; Riedel, T.; Beigl, M.; Mikut, R.; Hagenmeyer, V.
2020. 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), 11–15, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ISGT-Europe47291.2020.9248792

On Optimal Control of Flat Hybrid Automata
Zahn, F.; Kleinert, T.; Hagenmeyer, V.
2020. IFAC World Congress 2020, Germany, July 11 - 17, 2020. Ed.: R. Findeisen, 6800–6805, Elsevier. doi:10.1016/j.ifacol.2020.12.332

Convergence of Mixed-Integer ALADIN
Murray, A.; Hagenmeyer, V.
2020. 4th International Conference on Algorithms, Computing and Systems, Berlin, 18.-20. September 2020, Association for Computing Machinery (ACM)

A New Distributed Optimization Algorithm for MINLPs with Affinely Coupled Decision Variables
Murray, A.; Hagenmeyer, V.
2020. 4th International Conference on Algorithms, Computing and Systems, Berlin, 18.-20. September 2020, Association for Computing Machinery (ACM)

Dynamic Modeling of Wind and Solar Power Generation with Grid Support for Large-Scale Integration in Power Systems
Kyesswa, M.; Cakmak, H.; Kühnapfel, U.; Hagenmeyer, V.
2020. IEEE PES Innovative Smart Grid Technologies (ISGT-Europe ), 569–573, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ISGT-Europe47291.2020.9248883

Sensitivity of input data in building heating energy demand simulation
Geiger, A.; Nichersu, A.; Hagenmeyer, V.
2020. BauSIM 2020, 23. - 25. September 2020, Graz

A New Julia-Based Parallel Time-Domain Simulation Algorithm for Analysis of Power System Dynamics
Kyesswa, M.; Schmurr, P.; Cakmak, H. K.; Kühnapfel, U.; Hagenmeyer, V.
2020. 2020 IEEE/ACM 24th International Symposium on Distributed Simulation and Real Time Applications (DS-RT), Prag, CZ, September 14-16, 2020. Vol. 1, 9 S., Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/DS-RT50469.2020.9213602

On Verification of Designed Energy Systems Using Distributed Co-Simulations
Erdmann, A.; Marcellan, A.; Hering, D.; Suriyah, M.; Ulbrich, C.; Henke, M.; Xhonneux, A.; Müller, D.; Schlatmann, R.; Hagenmeyer, V.
2020. 2020 IEEE/ACM 24th International Symposium on Distributed Simulation and Real Time Applications (DS-RT), 25–32, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/DS-RT50469.2020.9213689

Identification and Localization of Cyber-Attacks in Industrial Facilities
Reibelt, K.; Matthes, J.; Keller, H. B.; Hagenmeyer, V.
2020. ESCAPE 30, 30th European Symposium on Computer Aided Process Engineering, Milan, Italy, 30 August 2020 – 2 September 2020. Ed.: S. Pierucci, 1747–1752, Elsevier

Reproducibility of two calibration procedures for phase-measuring deflectometry
Allgeier, S.; Gengenbach, U.; Köhler, B.; Reichert, K.-M.; Hagenmeyer, V.
2020. Interferometry XX : 24 August - 4 September 2020, online only, United States. Ed.: M.B. North Morris, 14, Society of Photo-optical Instrumentation Engineers (SPIE). doi:10.1117/12.2567092

Forecasting energy time series with profile neural networks
Heidrich, B.; Turowski, M.; Ludwig, N.; Mikut, R.; Hagenmeyer, V.
2020. e-Energy ’20: The Eleventh ACM International Conference on Future Energy Systems, Virtual Event, Australia, June, 2020, 220–230, Association for Computing Machinery (ACM). doi:10.1145/3396851.3397683

A distributed modular scalable and generic framework for parallelizing population-based metaheuristics
Khalloof, H.; Ostheimer, P.; Jakob, W.; Shahoud, S.; Duepmeier, C.; Hagenmeyer, V.
2020. Parallel Processing and Applied Mathematics : 13th International Conference, PPAM 2019, Bialystok, Poland, September 8–11, 2019, Revised Selected Papers, Part I. Ed: R. Wyrzykowski, 432–444, Springer. doi:10.1007/978-3-030-43229-4_37

Descriptive Statistics Time-based Meta Features (DSTMF): Constructing a better Set of Meta Features for Model Selection in Energy Time Series Forecasting
Shahoud, S.; Khalloof, H.; Duepmeier, C.; Hagenmeyer, V.
2020. APPIS 2020: Proceedings of the 3rd International Conference on Applications of Intelligent Systems. Ed.: N. Petkov, 3378221, Association for Computing Machinery (ACM). doi:10.1145/3378184.3378221

Design of a Web-Service for Formal Descriptions of Domain-Specific Data
Sidler, J.; Braun, E.; Schlachter, T.; Düpmeier, C.; Hagenmeyer, V.
2020. Environmental Software Systems. Data Science in Action – 13th IFIP WG 5.11 International Symposium, ISESS 2020, Wageningen, The Netherlands, February 5–7, 2020, Proceedings. Ed.: I. Athanasiadis, 201–215, Springer International Publishing. doi:10.1007/978-3-030-39815-6_20

Polychaos.jl - A Julia package for polynomial chaos in systems and control
Mühlpfordt, T.; Zahn, F.; Hagenmeyer, V.; Faulwasser, T.
2020

Mitigating heat demand peaks in buildings in a highly renewable European energy system
Zeyen, E.; Hagenmeyer, V.; Brown, T.
2020

A Scalable Method for Scheduling Distributed Energy Resources using Parallelized Population-based Metaheuristics
Khalloof, H.; Jakob, W.; Shadoud, S.; Duepmeier, C.; Hagenmeyer, V.
2020

Distributed Power Flow and Distributed Optimization - Formulation, Solution, and Open Source Implementation
Mühlpfordt, T.; Dai, X.; Engelmann, A.; Hagenmeyer, V.
2020. Cornell University. doi:10.5445/IR/1000126668

Approximating Power Flow and Transmission Losses in Coordinated Capacity Expansion Problems
Neumann, F.; Hagenmeyer, V.; Brown, T.
2020

Clustering Dataset
Frysztacki, M.; Hörsch, J.; Hagenmeyer, V.; Brown, T. W.
2020. doi:10.5281/zenodo.3965781

Schätzung einer zeitabhängigen Reproduktionszahl R für Daten mit einer wöchentlichen Periodizität am Beispiel von SARS-CoV-2-Infektionen und COVID-19
Mikut, R.; Mühlpfordt, T.; Reischl, M.; Hagenmeyer, V.
2020. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000119466

PolyChaos.jl -- A Julia Package for Polynomial Chaos in Systems and Control
Mühlpfordt, T.; Zahn, F.; Hagenmeyer, V.; Faulwasser, T.
2020

Power Hardware In the Loop infrastructure at KIT
Hubschneider, S.; Waczowicz, S.; Wiegel, F.; Karrari, S.; Sousa, W. T. B. de; Carne, G. de; Geisbüsch, J.; Hiller, M.; Leibfried, T.; Hagenmeyer, V.; Noe, M.
2020, Juni 18. RT20: Opal-RT’s 12th Conference on Real-Time Simulation (2020), Online, 18. Juni 2020

Energy-Based Stochastic MPC for Integrated Electricity-Hydrogen VPP in Real-Time Markets
Appino, R. R.; Wang, H.; Gonzales Ordiano, J. A.; Faulwasser, T.; Mikut, R.; Hagenmeyer, V.; Mancarella, P.
2020, Juni. 21st Power Systems Computation Conference (PSCC 2020), Porto, Portugal, 29. Juni–3. Juli 2020

Toolbox zur nachhaltigen Optimierung von Energiesystemen
Sauer, D.; Langiu, M.; Baader, F.; Dahmen, M.; Xhonneux, A.; Sass, S.; Kappatou, C.; Hollermann, D.; Shu, D.; Schütz, T.; Faulwasser, T.; Gröll, L.; Hagenmeyer, V.; Müller, D.; Bardow, A.; Mitsos, A.
2020, September. ES2050-Abschlusskonferenz (2020), Berlin, Deutschland, 28.–30. September 2020

Identification and Localization of Cyber-Attacks in Industrial Facilities
Reibelt, K.; Matthes, J.; Keller, H. B.; Hagenmeyer, V.
2020, August 31. 30. European Symposium on Computer Aided Process Engineering (ESCAPE 2020), Online, 31. August–2. September 2020

Coping with Concept Drifts in Load Forecasting using Machine Learning
Heidrich, B.; Turowski, M.; Ludwig, N.; Mikut, R.; Hagenmeyer, V.
2020, März 5. Helmholtz AI Kick-Off Meeting (2020), München, Deutschland, 4.–5. März 2020

Models, Data, Methods, and Optimization Benchmarks for Integrated Energy
Langiu, M.; Baader, F.; Sauer, D.; Dahmen, M.; Xhonneux, A.; Sass, S.; Kappatou, C.; Hollermann, D.; Shu, D.; Schütz, T.; Faulwasser, T.; Gröll, L.; Hagenmeyer, V.; Bardow, A.; Mitsos, A.
2020, September. ES2050-Abschlusskonferenz (2020), Berlin, Deutschland, 28.–30. September 2020

ICT-Platform for Designing, Testing and Evaluating Energy System Solutions in Real-World Laboratories
Redder, F.; Braun, E.; Düpmeier, C.; Liu, J.; Westphal, L.; Stucky, U.; Xhonneux, A.; Hagenmeyer, V.; Müller, D.
2020, September. ES2050-Abschlusskonferenz (2020), Berlin, Deutschland, 28.–30. September 2020

Prognosen für Energiesysteme der Zukunft: Methoden und Tools
Mikut, R.; González Ordiano, J. A. L., Nicole; Hagenmeyer, V.
2020. ES2050-Abschlusskonferenz (2020), Berlin, Deutschland, 28.–30. September 2020

Scheduling of energy storage using probabilistic forecasts and energy-based aggregated models. Dissertation
Appino, R. R.
2019. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000100684

Neues Konzept zur skalierbaren, explorativen Analyse großer Zeitreihendaten mit Anwendung auf umfangreiche Stromnetz-Messdaten. Dissertation
Bach, F.
2019. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000097843

Vision system-based inspection and alignment of laminated polymer films for 3D-Integration of microsystems
Elkaseer, A.; Salem, M.; Hagenmeyer, V.; Scholz, S.
2019. IFAC-PapersOnLine, 52 (15), 13–18. doi:10.1016/j.ifacol.2019.11.642

Modeling and control of multimodal and hybrid energy systems (Editorial)
Wolter, M.; Hagenmeyer, V.
2019. Automatisierungstechnik, 67 (11), 891–892. doi:10.1515/auto-2019-0112

Errata for “Comments on Truncation Errors for Polynomial Chaos Expansions”
Mühlpfordt, T.; Findeisen, R.; Hagenmeyer, V.; Faulwasser, T.
2019. IEEE Control Systems Letters, 1. doi:10.1109/LCSYS.2019.2960612

Time delay in the swing equation: A variety of bifurcations
Scholl, T. H.; Gröll, L.; Hagenmeyer, V.
2019. Chaos, 29 (12), Article: 123118. doi:10.1063/1.5122784

Uncertainty Quantification for Optimal Power Flow Problems
Mühlpfordt, T.; Hagenmeyer, V.; Faulwasser, T.
2019. Proceedings in applied mathematics and mechanics, 19 (1), Art.Nr. e201900087. doi:10.1002/Pamm.201900087

Siloxane-functionalised surface patterns as templates for the ordered deposition of thin lamellar objects
Hoffmann, J.; Gamboa, S. M.; Hofmann, A.; Gliemann, H.; Welle, A.; Wacker, I.; Schröder, R. R.; Ness, L.; Hagenmeyer, V.; Gengenbach, U.
2019. Scientific reports, 9 (1), Article no: 17952. doi:10.1038/s41598-019-54507-1

A new distributed co-simulation architecture for multi-physics based energy systems integration
Çakmak, H.; Erdmann, A.; Kyesswa, M.; Kühnapfel, U.; Hagenmeyer, V.
2019. Automatisierungstechnik, 67 (11), 972–983. doi:10.1515/auto-2019-0081

Avoiding Thermal-Stress-Induced Failures by Design Optimization when Brazing Perlucor® to Inconel® 718 Components
Spatafora, L.; Isele, J.; Ritzhaupt-Kleissl, H.-J.; Hagenmeyer, V.; Aktaa, J.
2019. Journal of ceramic science and technology, 10 (2), 1–10. doi:10.4416/JCST2019-00011

Chance-constrained AC optimal power flow - A polynomial chaos approach
Mühlpfordt, T.; Roald, L.; Hagenmeyer, V.; Faulwasser, T.; Misra, S.
2019. IEEE transactions on power systems, 34 (6), 4806–4816. doi:10.1109/TPWRS.2019.2918363

Effect of Process Parameters on the Generated Surface Roughness of Down-Facing Surfaces in Selective Laser Melting
Charles, A. P.; Elkaseer, A.; Thijs, L.; Hagenmeyer, V.; Scholz, S.
2019. Applied Sciences, 9 (6), Article: 1256. doi:10.3390/app9061256

Architectural Concept and Evaluation of a Framework for the Efficient Automation of Computational Scientific Workflows: An Energy Systems Analysis Example
Liu, J.; Braun, E.; Düpmeier, C.; Kuckertz, P.; Ryberg, D.; Robinius, M.; Stolten, D.; Hagenmeyer, V.
2019. Applied Sciences, 9 (4), Article no: 728. doi:10.3390/app9040728

Chancen der Digitalisierung für die Energiewende
Waczowicz, S.; Müller-Langer, F.; Kröner, M.; Steubing, M.; Fischedick, M.; Weigel, P.; Hagenmeyer, V.
2019. GWF / Gas+Energie, (1), 60–64

Large-scale grid integration of residential thermal energy storages as demand-side flexibility resource: A review of international field studies
Kohlhepp, P.; Harb, H.; Wolisz, H.; Waczowicz, S.; Müller, D.; Hagenmeyer, V.
2019. Renewable & sustainable energy reviews, 101, 527–547. doi:10.1016/j.rser.2018.09.045

Authentication of GOOSE Messages under Timing Constraints in IEC 61850 Substations
Elbez, G.; Keller, H. B.; Hagenmeyer, V.
2019. 6th International Symposium for ICS & SCADA Cyber Security Research 2019 (ICS-CSR), BCS Learning & Development. doi:10.14236/ewic/icscsr19.17

A New Communication Concept for Efficient Configuration of Energy Systems Integration Co-Simulation
Erdmann, A.; Çakmak, H. K.; Kuhnapfel, U.; Hagenmeyer, V.
2019. 2019 IEEE/ACM 23rd International Symposium on Distributed Simulation and Real Time Applications (DS-RT), 8 Seiten, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/DS-RT47707.2019.8958665

On Calendar-Based Scheduling for User-Friendly Charging of Plug-In Electric Vehicles
Schwenk, K.; Faix, M.; Mikut, R.; Hagenmeyer, V.; Appino, R. R.
2019. 2nd IEEE Connected and Automated Vehicles Symposium, CAVS 2019, Honolulu, United States, 22nd - 23rd September 2019, 1–5, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CAVS.2019.8887782

Facilitating and Managing Machine Learning and Data Analysis Tasks in Big Data Environments using Web and Microservice Technologies
Shahoud, S.; Gunnarsdottir, S.; Khalloof, H.; Düpmeier, C.; Hagenmeyer, V.
2019. 11th International Conference on Management of Digital EcoSystems, MEDES. doi:10.1145/3297662.3365807

Superlinear Speedup of Parallel Population-Based Metaheuristics: A Microservices and Container Virtualization Approach
Khalloof, H.; Ostheimer, P.; Jakob, W.; Shahoud, S.; Düpmeier, C.; Hagenmeyer, V.
2019. Intelligent Data Engineering and Automated Learning. Ed.: Hujun Yin, 386–393, Springer. doi:10.1007/978-3-030-33607-3_42

A distributed Modular Scalable and Generic Framework for Parallelizing Population Based Metaheuristics
Khalloof, H.; Ostheimer, P.; Jakob, W.; Shahoud, S.; Duepmeier, C.; Hagenmeyer, V.
2019. 13th International Conference on Parallel Processing and Applied Mathematics (PPAM 2019), Bialystok, PL, September 8-11, 2019, Springer

A Comparison of Economic MPC Formulations for Thermal Building Control
Zwickel, P.; Engelmann, A.; Gröll, L.; Hagenmeyer, V.; Sauer, D.; Faulwasser, T.
2019. 2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), Bucharest, RO, September 29 - October 2, 2019, Article no: 8905593, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ISGTEurope.2019.8905593

Data-driven charging strategies for grid-beneficial, customer-oriented and battery-preserving electric mobility
Schwenk, K.; Harr, T.; Großmann, R.; Appino, R. R.; Hagenmeyer, V.; Mikut, R.
2019. Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019. Ed.: F. Hoffmann, E. Hüllermeier, R. Mikut, 73–93, KIT Scientific Publishing

Detection and Localization of Manipulated Smart Meters Using Super State Hidden Markov Models
Gabriel, R.; Matthes, J.; Keller, H. B.; Hagenmeyer, V.
2019. 2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), Beijing, China, 21-23 Oct. 2019, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SmartGridComm.2019.8909702

Semantic CIM2Matpower: Ontology-Based Network Topology Processor and Converter for CIM Node-Breaker Models
Schumilin, A.; Cakmak, H. K.; Stucky, K.-U.; Duepmeier, C.; Hagenmeyer, V.
2019. Proceedings of the 7th International Conference on Smart Energy Grid Engineering (SEGE 2019), Ottawa, CDN, August 12-14, 2018, 31–36, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SEGE.2019.8859820

Exploiting Unused Capacity in the Grid
Priebe, J.; Wehbring, N.; Chang, H.; Moser, A.; Cakmak, H. K.; Kühnapfel, U.; Hagenmeyer, V.
2019. 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia), Chengdu, China, 21-24 May 2019, 451–456, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ISGT-Asia.2019.8880909

A hybrid analysis approach for transient stability assessment in power systems
Kyesswa, M.; Cakmak, H. K.; Gröll, L.; Kuhnapfel, U.; Hagenmeyer, V.
2019. 2019 IEEE Milan PowerTech, 23-27 June 2019, Milan, Italy, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PTC.2019.8810745

Optimal adaptive power flow linearizations: Expected error minimization using polynomial chaos expansion
Mühlpfordt, T.; Hagenmeyer, V.; Molzahn, D. K.; Misra, S.
2019. 2019 IEEE Milan PowerTech, 23-27 June 2019, Milan, Italy, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PTC.2019.8810681

A method for sizing centralised energy storage systems using standard patterns
Karrari, S.; Ludwig, N.; Hagenmeyer, V.; Noe, M.
2019. 2019 IEEE Milan PowerTech, 23-27 June 2019, Milan, Italy, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PTC.2019.8810658

Determination of Feasible Power Variability Ranges in Active Distribution Networks with Uncertain Generation and Demand
Noto, G.; Hagenmeyer, V.; Appino, R. R.; Chicco, G.
2019. IEEE Milan PowerTech, Milan, Italy, 23-27 June 2019: proceedings, 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PTC.2019.8810592

Automated fabrication of multi-layer printed electronic circuits using a novel vector ink-jet printing process control and surface mounting of discrete components [in press]
Gengenbach, U.; Ungerer, M.; Koker, L.; Reichert, K.-M.; Stiller, P.; Huang, C.; Hagenmeyer, V.
2019. Joint Conference - 8th IFAC Symposium on Mechatronic Systems - 11th Symposium on Nonlinear Control Systems, September 4-6, 2019, Vienna, Austria

Building Energy Simulations at Urban Scale Based on Standardised Data Models [in press]
Geiger, A.; Benner, J.; Häfele, K.-H.; Hagenmeyer, V.
2019. Proceedings of Building Simulation 2019: 16th Conference of IBPSA. Ed.: V. Corrado, International Building Performance Simulation Association (IBPSA)

Prediction of Dimensional Error in Down-Facing Surfaces for Laser Powder Bed Fusion Parts [in press]
Charles, A. P.; Elkaseer, A.; Hagenmeyer, V.; Scholz, S.
2019. 3RD World Congress on Micro and Nano Manufacturing, Raleigh WCMNM 2019, North Carolina, USA, 10th - 12th September

Synchronized continuous high-rate time-series recording in distribution grids for accurate evaluation
Jumar, R.; Maaß, H.; Kühnapfel, U.; Hagenmeyer, V.
2019. 2019 International Conference on Smart Grid Synchronized Measurements and Analytics, SGSMA 2019; Texas A and M UniversityCollege Station; United States; 20 May 2019 through 23 May 2019, Art.-Nr.: 8784664, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SGSMA.2019.8784664

Industrial demand-side flexibility: A benchmark data set
Ludwig, N.; Barth, L.; Wagner, D.; Hagenmeyer, V.
2019. Proceedings of the Tenth ACM International Conference on Future Energy Systems - e-Energy ’19, Phoenix, AZ, USA, June 25 - 28, 2019, 460–473, Association for Computing Machinery (ACM). doi:10.1145/3307772.3331021

Robust phase unwrapping based on non-coprime fringe pattern periods for deflectometry measurements
Allgeier, S.; Gengenbach, U.; Köhler, B.; Reichert, K.-M.; Hagenmeyer, V.
2019. Automated Visual Inspection and Machine Vision III - SPIE Optical Metrology, 2019, Munich, Germany, 24-27 JUNE 2019. Ed.: J. Beyerer, F. Puente León, 1106103, Society of Photo-optical Instrumentation Engineers (SPIE). doi:10.1117/12.2523564

Assessment of a scheduling strategy for dispatching prosumption of an industrial campus
Remo Appino, R.; Ángel González Ordiano, J.; Munze, N.; Mikut, R.; Faulwasser, T.; Hagenmeyer, V.
2019. Internationaler ETG-Kongress 2019 : das Gesamtsystem im Fokus der Energiewende, 8. – 9. Mai 2019, Neckar Forum, Esslingen am Neckar. Hrsg.: C. Rehtanz, 289–294, VDE Verlag

Open Source 3-Phase Function Generator for Smart Grid Experiments and Monitoring Device Testing
Jumar, R.; Erdmann, A.; Maaß, H.; Kühnapfel, U.; Hagenmeyer, V.
2019. 2nd International Colloquium on Smart Grid Metrology (SMAGRIMET), Split, Croatia, 9-12 April 2019, 1–7, Institute of Electrical and Electronics Engineers (IEEE). doi:10.23919/SMAGRIMET.2019.8720387

Globale und nationale Herausforderungen bei der Umsetzung der Energiesystemtransformation
Fischedick, M.; Samadi, S.; Pregger, T.; Vogt, T.; Henning, H.-M.; Hoffmann, C.; Rohrig, K.; Horst, J.; Hauser, E.; Hagenmeyer, V.; Poganietz, W. R.
2019. FVEE-Jahrestagung (2019), Berlin, Deutschland, 22.–23. Oktober 2019

Normbasierte Einzugsbereichsabschätzungen in Totzeitsystemen
Scholl, T. H.; Hagenmeyer, V.; Gröll, L.
2019. Tagung des GMA-Fachausschusses 1.40 ’Systemtheorie und Regelungstechnik’ (2019), Anif, Österreich, 23.–25. September 2019

Building Energy Simulations at Urban Scale Based on Standardized Data Models Using a Transparent Enrichment Process
Geiger, A.; Benner, J.; Häfele, K.-H.; Hagenmeyer, V.
2019, September 3. 16th International Building Simulations Conference (IBPSA 2019), Rom, Italien, 2.–4. September 2019

Vision system-based inspection and alignment of laminated polymer films for 3D-integration of microsystems
Elkaseer, A.; Salem, M.; Hagenmeyer, V.; Scholz, S.
2019. 8th / 11th IFAC Symposium on Mechatronic Systems and IFAC Symposium on Nonlinear Control Systems (MECHATRONICS / NOLCOS 2019), Wien, Österreich, 4.–6. September 2019

Polynomial Chaos in Control - Truncation Errors and Numerical Computation
Mühlpfordt, T.; Hagenmeyer, V.; Faulwasser, T.
2019, März 26. GAMM-Fachausschuss Dynamik und Regelungstheorie - Workshop (2019), Magdeburg, Deutschland, 25.–26. März 2019

Modellbasiertes IT-Sicherheitssystem für vernetzte Komponenten zukünftiger Energiesysteme
Reibelt, K.; Elbez, G.; Scherer, O.; Matthes, J.; Keller, H. B.; Hagenmeyer, V.
2019. 83. Jahrestagung der DPG und DPG-Frühjahrstagung der Sektion Atome, Moleküle, Quantenoptik und Plasmen (SAMOP), Arbeitskreis Energie (2019), Rostock, Deutschland, 10.–15. März 2019

Optimal adaptive power flow linearizations: Expected error minimization using polynomial chaos expansion
Mühlpfordt, T.; Molzahn, D. K.; Hagenmeyer, V.; Misra, S.
2019. 13th IEEE PES Power Tech (2019), Mailand, Italien, 23.–27. Juni 2019

PolyChaos.jl - An open source Julia package for polynomial chaos expansion
Mühlpfordt, T.; Hagenmeyer, V.; Faulwasser, T.
2019, September 11. Workshop on Frontiers of Uncertainty Quantification in Fluid Dynamics (FrontUQ 2019), Pisa, Italien, 11.–13. September 2019

Parameter identification of thermal building models
Sauer; Dominique; Hagenmeyer, V.; Gröll, L.
2019. Doktorandenseminar der Helmholtz-Initiative Energie System 2050 (ES2050 2019), Oberursel, Deutschland, 4.–5. September 2019

Towards Distributed Mixed Integer optimization in Energy Systems
Murray, A.; Hagenmeyer, V.; Faulwasser, T.
2019. 2nd International Conference on "Future Electric Power Systems and the Energy Transition (FEPSET 2019), Champery, Switzerland, 3.–8. Februar 2019

Towards proper building models
Sauer, D.; Gröll, L.; Hagenmeyer, V.
2019, Juli 4. 8. Jahrestagung des KIT-Zentrums Energie (2019), Karlsruhe, Deutschland, 4.–5. Juli 2019

Benchmark Dataset for "Industrial Demand-Side Flexibility: A Benchmark Data Set"
Ludwig, N.; Barth, L.; Wagner, D.; Hagenmeyer, V.
2019. doi:10.5445/IR/1000094324

Optimal Power Flow Subject to Non-Gaussian Stochastic Uncertainties: An L²-based Approach
Mühlpfordt, T.; Faulwasser, T.; Hagenmeyer, V.
2018. Proceedings in applied mathematics and mechanics, 18 (1, SI), e201800371. doi:10.1002/pamm.201800371

Mixed-Integer vs. Real-Valued Formulations of Battery Scheduling Problems
Murray, A.; Faulwasser, T.; Hagenmeyer, V.
2018. IFAC-PapersOnLine, 51 (28), 350–355. doi:10.1016/j.ifacol.2018.11.727

Hierarchical Distributed Mixed-Integer Optimization for Reactive Power Dispatch
Murray, A.; Engelmann, A.; Hagenmeyer, V.; Faulwasser, T.
2018. IFAC-PapersOnLine, 51 (28), 368–373. doi:10.1016/j.ifacol.2018.11.730

Reliable Dispatch of Renewable Generation via Charging of Time-varying PEV Populations
Appino, R. R.; Munoz-Ortiz, M.; Gonzalez Ordiano, J. A.; Mikut, R.; Hagenmeyer, V.; Faulwasser, T.
2018. IEEE transactions on power systems, 34 (2), 1558–1568. doi:10.1109/TPWRS.2018.2873409

A generalized framework for chance-constrained optimal power flow
Mühlpfordt, T.; Faulwasser, T.; Hagenmeyer, V.
2018. Sustainable energy, grids and networks, 16, 231–242. doi:10.1016/j.segan.2018.08.002

Comparison of lossless compression schemes for high rate electrical grid time series for smart grid monitoring and analysis
Jumar, R.; Maaß, H.; Hagenmeyer, V.
2018. Computers & electrical engineering, 71, 465–476. doi:10.1016/j.compeleceng.2018.07.008

Optimal power flow: An introduction to predictive, distributed and stochastic control challenges
Faulwasser, T.; Engelmann, A.; Mühlpfordt, T.; Hagenmeyer, V.
2018. Automatisierungstechnik, 66 (7), 573–589. doi:10.1515/auto-2018-0040

Replication of Overmolded Orthopedic Implants with a Functionalized Thin Layer of Biodegradable Polymer
Elkaseer, A.; Mueller, T.; Azcarate, S.; Philipp-Pichler, M.; Wilfinger, T.; Wittner, W.; Prantl, M.; Sampaio, D.; Hagenmeyer, V.; Scholz, S.
2018. Polymers, 10 (7), Article: 707. doi:10.3390/polym10070707

3D confocal laser-scanning microscopy for large-area imaging of the corneal subbasal nerve plexus
Allgeier, S.; Bartschat, A.; Bohn, S.; Peschel, S.; Reichert, K.-M.; Sperlich, K.; Walckling, M.; Hagenmeyer, V.; Mikut, R.; Stachs, O.; Köhler, B.
2018. Scientific reports, 8 (1), Article Number 7468. doi:10.1038/s41598-018-25915-6

Concept and benchmark results for Big Data energy forecasting based on Apache Spark
González Ordiano, J. Á.; Bartschat, A.; Ludwig, N.; Braun, E.; Waczowicz, S.; Renkamp, N.; Peter, N.; Düpmeier, C.; Mikut, R.; Hagenmeyer, V.
2018. Journal of Big Data, 5 (1), Art.Nr. 11. doi:10.1186/s40537-018-0119-6

Quality management and improvement for geothermal energy projects using the platform-based tool development technology − ZWERG
Holbein, B.; Dietze, S.; Hurst, F.; Isele, J.; Spatafora, L.; Wiegel, F.; Hagenmeyer, V.
2018. Geothermics, 71, 320–330. doi:10.1016/j.geothermics.2017.10.010

Comments on Truncation Errors for Polynomial Chaos Expansions
Mühlpfordt, T.; Findeisen, R.; Hagenmeyer, V.; Faulwasser, T.
2018. IEEE Control Systems Letters, 2 (1), 169–174. doi:10.1109/LCSYS.2017.2778138

On the use of probabilistic forecasts in scheduling of renewable energy sources coupled to storages
Appino, R. R.; González Ordiano, J. Á.; Mikut, R.; Faulwasser, T.; Hagenmeyer, V.
2018. Applied energy, 210, 207–1218. doi:10.1016/j.apenergy.2017.08.133

A Cost-efficient Software Testbed for Cyber-Physical Security in IEC 61850-based Substations
Elbez, G.; Keller, H. B.; Hagenmeyer, V.
2018. 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2018; Aalborg; Denmark; 29 October 2018 through 31 October 2018, Art. Nr.: 8587456, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SmartGridComm.2018.8587456

Multivalent neighborhood heat grid including power-to-heat & shared storage concept
Holbein, B.; Isele, J.; Spatafora, L.; Wiegel, F.; Hagenmeyer, V.
2018. Grand Renewable Energy 2018 International Conference and Exhibition, Pacifico Yokohama, J, June 17-22, 2018. Proceedings on DVD

A generic distributed microservices and container based framework for metaheuristic optimization
Khalloof, H.; Jakob, W.; Liu, J.; Braun, E.; Shahoud, S.; Duepmeier, C.; Hagenmeyer, V.
2018. Proceedings of the Genetic and Evolutionary Conference Companion, Kyoto, J, July 15-19, 2018, 1363–1370, Association for Computing Machinery (ACM). doi:10.1145/3205651.3208253

An integrated workflow to automatically fabricate flexible electronics by functional printing and SMT component mounting
Gengenbach, U.; Ungerer, M.; Aytac, E.; Koker, L.; Reichert, K. M.; Stiller, P.; Hagenmeyer, V.
2018. Proceedings of the 14th International Conference on Automation Science and Engineering (CASE), Paper ThCT4.4. doi:10.1109/COASE.2018.8560456

Cross-Media Mesh Networks for Smart Home and Smart Grid Applications
Wiegel, F.; Hagenmeyer, V.; Oberschmidt, G.
2018. 2018 the 6th IEEE International Conference on Smart Energy Grid Engineering (SEGE), 205–211, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SEGE.2018.8499305

A knowledge-based decision support system for micro and nano manufacturing process chains
Müller, T.; Hagenmeyer, V.; Schmidt, A.; Scholz, S.; Elkaseer, A.
2018. Euromicro Conference on Software Engineering and Advanced Applications 2018 (SEAA 2018), Prague, CZ, August 29-31, 2018. Ed.: T. Bures, 314–320, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SEAA.2018.00058

A Consistent View of the Smart Grid: Bridging the Gap between IEC CIM and IEC 61850
Schumilin, A.; Duepmeier, C.; Stucky, K.-U.; Hagenmeyer, V.
2018. 44th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), Praha, CZ, August 29–31, 2018, 321–325, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SEAA.2018.00059

A new classification of attacks against the cyber-physical security of smart grids
Elbez, G.; Keller, H. B.; Hagenmeyer, V.
2018. ARES 2018: International Conference on Availability, Reliability and Security, August 27–30, 2018, Hamburg, Germany., Art.-Nr. 63, Association for Computing Machinery (ACM). doi:10.1145/3230833.3234689

The Price of Uncertainty: Chance-Constrained OPF vs. in-Hindsight OPF
Mühlpfordt, T.; Hagenmeyer, V.; Faulwasser, T.
2018. 2018 Power Systems Computation Conference (PSCC), Dublin, IRL, June 11-15, 2018, 1–7, Institute of Electrical and Electronics Engineers (IEEE). doi:10.23919/PSCC.2018.8442162

On the creation of quantile regression based scenario and parametric probabilistic forecasts in the context of energy forecasting
González Ordiano, J. Á.; Remo Appino, R.; Faulwasser, T.; Hagenmeyer, V.; Mikut, R.
2018. International Symposium on Forecasting (ISF 2018), Boulder, CO, June 16-20, 2018. Conference Proceedings

Effect of process parameters on dimensional accuracy of down-facing surfaces in selective laser melting of TI6AL4V
Charles, A. P.; Elkaseer, A.; Mueller, T.; Thijs, L.; Hagenmeyer, V.; Scholz, S.
2018. Advancing Precision in Additive Manufacturing : 2018 ASPE and euspen Summer Topical Meeting, Berkeley, CA, Jube 22-25, 2018, ASPE

Storage scheduling with stochastic uncertainties: Feasibility and cost of imbalances
Appino, R. R.; Ordiano, J. A. G.; Mikut, R.; Hagenmeyer, V.; Faulwasser, T.
2018. 20th Power Systems Computation Conference, PSCC 2018; University College DublinDublin; Ireland; 11 June 2018 through 15 June 2018, Art. Nr.: 8442529, Institute of Electrical and Electronics Engineers (IEEE). doi:10.23919/PSCC.2018.8442529

A Study of the Factors Influencing Generated Surface Roughness of Downfacing Surfaces in Selective Laser Melting
Charles, A. P.; Elkaseer, A.; Müller, T.; Thijs, L.; Torge, M.; Hagenmeyer, V.; Scholz, S.
2018. World Congress on Micro and Nano Manufacturing, Portoroz, SLO, September 18-20, 2018, 327–330, Research Publishing. doi:10.3850/978-981-11-2728-1_57

Smart modular reconfigurable fully-digital manufacturing system with a knowledge-based framework: example of a fabrication of microfluidic chips
Scholz, S.; Elkaseer, A.; Müller, T.; Gengenbach, U.; Hagenmeyer, V.
2018. Proceedings of the 14th IEEE International Conference on Automation Science and Engineering (CASE), München, August 20-24, 2018, 1012–1017, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/COASE.2018.8560405

Auction Design to Use Flexibility Potentials in the Energy - Intensive Industry
Ludwig, N.; Mikut, R.; Hagenmeyer, V.
2018. 15th International Conference on the European Energy Market (EEM), Lodz, Poland, 27–29 June 2018, 1–5, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/EEM.2018.8470003

A Generic and Highly Scalable Framework for the Automation and Execution of Scientific Data Processing and Simulation Workflows
Liu, J.; Braun, E.; Dupmeier, C.; Kuckertz, P.; Ryberg, D. S.; Robinius, M.; Stolten, D.; Hagenmeyer, V.
2018. 2018 IEEE International Conference on Software Architecture (ICSA), Seattle, WA, April 30 - May 4, 2018, 145–155, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICSA.2018.00024

Prüfung von openBIM Gebäudemodellen für die thermische Gebäudesimulation
Geiger, A.; Hagenmeyer, V.
2018. BauSIM2018 - 7. Deutsch-Österreichische IBPSA-Konferenz : Tagungsband. Hrsg.: P. von Both, 578–585, Karlsruher Institut für Technologie (KIT)

Thermal Energy Simulation of Buildings based on the CityGML Energy Application Domain Extension
Geiger, A.; Benner, J.; Häfele, K.-H.; Hagenmeyer, V.
2018. BauSIM2018 - 7. Deutsch-Österreichische IBPSA-Konferenz : Tagungsband. Hrsg.: P. von Both, 295–302, Karlsruher Institut für Technologie (KIT)

A Matlab-Based Simulation Tool For The Analysis Of Unsymmetrical Power System Transients In Large Networks
Kyesswa, M.; Cakmak, H. K.; Kühnapfel, U.; Hagenmeyer, V.
2018. 32nd European Conference on Modelling and Simulation (ECMS 2018), Wilhelmshafen, May 22-25, 2018. Ed.: L. Nolle, 246–256, European Council for Modelling and Simulation. doi:10.7148/2018-0246

A new solution for the energy packet-based dispatching using power/signal dual modulation
De Din, E.; Hagenmeyer, V.; Monti, A.; Wehrle, K.
2018. 9th ACM International Conference on Future Energy Systems, e-Energy 2018; Karlsruhe; Germany; 12 June 2018 through 15 June 2018, 361–365, Association for Computing Machinery (ACM). doi:10.1145/3208903.3208931

Numerical weather prediction data free solar power forecasting with neural networks
Sharma, V.; Cali, U.; Hagenmeyer, V.; Mikut, R.; Ordiano, J. Á. G.
2018. 9th ACM International Conference on Future Energy Systems, e-Energy 2018; Karlsruhe; Germany; 12 June 2018 through 15 June 2018, 604–609, Association for Computing Machinery (ACM). doi:10.1145/3208903.3210279

SCiBER: A new public data set of municipal building consumption
Staudt, P.; Ludwig, N.; Huber, J.; Hagenmeyer, V.; Weinhardt, C.
2018. 9th ACM International Conference on Future Energy Systems (e-Energy), Karlsruhe, Germany, 12 - 15 June 2018, 618–621, Association for Computing Machinery (ACM). doi:10.1145/3208903.3210281

Demand response clustering — automatically finding optimal cluster hyper-parameter values
Waczowicz, S.; Ludwig, N.; Ordiano, J. Á. G.; Mikut, R.; Hagenmeyer, V.
2018. 9th ACM International Conference on Future Energy Systems, e-Energy 2018; Karlsruhe; Germany; 12 June 2018 through 15 June 2018, 429–430, Association for Computing Machinery (ACM). doi:10.1145/3208903.3212049

Assessment of unsupervised standard pattern recognition methods for industrial energy time series
Ludwig, N.; Waczowicz, S.; Mikut, R.; Hagenmeyer, V.
2018. 9th ACM International Conference on Future Energy Systems, e-Energy 2018; Karlsruhe; Germany; 12 June 2018 through 15 June 2018, 434–435, Association for Computing Machinery (ACM). doi:10.1145/3208903.3212051

Assessment of a multi-agent mixed-integer optimization algorithm for battery scheduling
Murray, A.; Faulwasser, T.; Hagenmeyer, V.
2018. 9th ACM International Conference on Future Energy Systems, e-Energy 2018; Karlsruhe; Germany; 12 June 2018 through 15 June 2018, 453–455, Association for Computing Machinery (ACM). doi:10.1145/3208903.3212058

Innovative Downhole Tools for Cause Study and Main tenance in Deep Geothermal Energy
Holbein, B.; Dietze, S.; Isele, J.; Spatafora, L.; Wiegel, F.; Hagenmeyer, V.
2018. Ideen und Innovationen für die Energie von morgen : Wissenschaftliche Beiträge des KIT zu den Jahrestagungen 2014, 2016 und 2017 des KIT-Zentrums Energie. Ed.: W. Breh, 27–36, KIT Scientific Publishing. doi:10.5445/IR/1000084910

How much demand side flexibility do we need? - Analyzing where to exploit flexibility in industrial processes
Barth, L.; Hagenmeyer, V.; Ludwig, N.; Wagner, D.
2018. 9th ACM International Conference on Future Energy Systems (ACM e-Energy), 12th - 15th June 2018, Karlsruhe, Germany, 43–62, Association for Computing Machinery (ACM). doi:10.1145/3208903.3208909

Policy optimization for optimal power flow under uncertainty
Mühlpfordt, T.; Hagenmeyer, V.; Faulwasser, T.
2018. 2nd International Symposium on Energy System Optimization (ISESO 2018), Karlsruhe, Deutschland, 10.–11. Oktober 2018

Zur Stabilitätsanalyse von Totzeitsystemen
Scholl, T.; Hagenmeyer, V.; Gröll, L.
2018. Tagung des GMA-Fachausschusses 1.40 ’Systemtheorie und Regelungstechnik’ (2018), Anif, Österreich, 17.–19. September 2018

Chancen der Digitalisierung für die Energiewende
Hagenmeyer, V.
2018. Jahrestagung des Forschungsverbundes Erneuerbare Energien (FVEE 2018), Berlin, Deutschland, 17.–18. Oktober 2018

Smart Energy Grid der Zukunft
Keller, H. B.; Elbez, G.; Hagenmeyer, V.
2018. 5. Berliner Gesamtkonferenz der Sicherheitsinstitutionen (BGKdSI 2018), Berlin, Deutschland, 14. September 2018

The impact of sector-coupling on transmission reinforcement needs in a highly-renewable European energy scenario
Hörsch, J.; Hagenmeyer, V.; Brown, T.
2018. 17th Wind Integration Workshop : International Workshop on Large-Scale Integration of Wind Power into Power Systems as well as on Transmission Networks for Offshore Wind Plants (WIW 2018), Stockholm, Schweden, 18. Oktober 2018

Multivalent neighborhood heat grid including power-to-heat & shared storage concept
Holbein, B.; Isele, J.; Spatafora, L.; Wiegel, F.; Hagenmeyer, V.
2018. Grand Renewable Energy International Conference and Exhibition (2018), Yokohama, Japan, 17.–22. Juni 2018

Mixed-Integer vs. Real-Valued Formulations of Battery Scheduling Problems
Murray, A.; Faulwasser, T.; Hagenmeyer, V.
2018. 10th IFAC Symposium on Control of Power and Energy Systems (CPES 2018), Tokio, Japan, 4.–6. September 2018

Hierarchical Distributed Mixed-Integer Optimization for Reactive Power Dispatch
Murray, A.; Engelmann, A.; Hagenmeyer, V.; Faulwasser, T.
2018. 10th Symposium on Control of Power and Energy Systems (CEPS 2018), Tokio, Japan, 4.–6. September 2018

Distributed Mixed-Integer Optimization for Reactive Power Dispatch
Murray, A.; Engelmann, A.; Faulwasser, T.; Hagenmeyer, V.
2018. 10th IFAC Symposium on Control of Power and Energy Systems (CPES 2018), Tokio, Japan, 4.–6. September 2018

A knowledge-based decision support system for micro and nano manufacturing process chains
Müller, T.; Hagenmeyer, V.; Schmidt, A.; Scholz, S.; Elkaseer, A.
2018. 44th Euromicro Conference on Software Engineering and Advanced Applications (2018), Prag, Tschechien, 29.–31. August 2018

An integrated workflow to automatically fabricate flexible electronics by functional printing and SMT component mounting
Gengenbach, U.; Ungerer, M.; Aytac, E.; Koker, L.; Reichert, K. M.; Stiller, P.; Hagenmeyer, V.
2018. 14th IEEE International Conference on Automation Science and Engineering (CASE 2018), München, Deutschland, 20.–24. August 2018

Solving stochastic optimal power flow problem via polynomial chaos expansions
Mühlpfordt, T.; Faulwasser, T.; Hagenmeyer, V.
2018. SIAM Conference on Uncertanty Quantification, Garden Grove, CA, April 16-19, 2018

Storage scheduling with stochastic uncertainties: Feasibility and cost of imbalances
Appino, R. R.; Ordiano, J. A. G.; Mikut, R.; Hagenmeyer, V.; Faulwasser, T.
2018. 20th Power Systems Computation Conference (PSCC 2018), Dublin, Irland, 11.–15. Juni 2018

On the creation of quantile regression based scenario and parametric probabilistic forecasts in the context of energy forecasting
González Ordiano, J. Á.; Remo Appino, R.; Faulwasser, T.; Hagenmeyer, V.; Mikut, R.
2018. International Symposium on Forecasting (ISF 2018), Boulder, CO, USA, 16.–20. Juni 2018

Effect of process parameters on dimensional accuracy of down-facing surfaces in selective laser melting of TI6AL4V
Charles, A. P.; Elkaseer, A.; Mueller, T.; Thijs, L.; Hagenmeyer, V.; Scholz, S.
2018. Advancing Precision in Additive Manufacturing : ASPE and euspen Summer Topical Meeting (2018), Berkeley, CA, USA, 22.–25. Juni 2018

The price of uncertainty: Chance-constrained OPF vs. in-hindsight OPF
Mühlpfordt, T.; Hagenmeyer, V.; Faulwasser, T.
2018. 20th Power Systems Computation Conference (PSCC 2018), Dublin, Irland, 11.–15. Juni 2018

A study of the factors influencing generated surface roughness of downfacing surfaces in selective laser melting
Charles, A. P.; Elkaseer, A.; Müller, T.; Thijs, L.; Torge, M.; Hagenmeyer, V.; Scholz, S.
2018. World Congress on Micro and Nano Manufacturing (WCMNM 2018 2018), Portorož, Slowenien, 17.–20. September 2018

Smart modular reconfigurable fully-digital manufacturing system with a knowledge-based framework: example of a fabrication of microfluidic chips
Scholz, S.; Elkaseer, A.; Müller, T.; Gengenbach, U.; Hagenmeyer, V.
2018. 14th IEEE International Conference on Automation Science and Engineering (CASE 2018), München, Deutschland, 20.–24. August 2018

A Generic and Highly Scalable Framework for the Automation and Execution of Scientific Data Processing and Simulation Workflows
Liu, J.; Braun, E.; Dupmeier, C.; Kuckertz, P.; Ryberg, D. S.; Robinius, M.; Stolten, D.; Hagenmeyer, V.
2018, April. IEEE International Conference on Software Architecture (ICSA 2018), Seattle, WA, USA, 30. April–4. Mai 2018

A Matlab-Based Simulation Tool For The Analysis Of Unsymmetrical Power System Transients In Large Networks
Kyesswa, M.; Cakmak, H. K.; Kühnapfel, U.; Hagenmeyer, V.
2018. 32nd European Conference on Modelling and Simulation (ECMS 2018), Wilhelmshaven, Deutschland, 22.–25. Mai 2018

Zur Aggregation von Verteilnetzen für dynamische Übertragungsnetzsimulationen
Porada, S.; Bredtmann, C.; Moser, A.; Gröll, L.; Hagenmeyer, V.
2018. 15. Symposium Energieinnovation (EnInnov 2018), Graz, Österreich, 14.–16. Februar 2018

Optimal Power Flow Subject to Non-Gaussian Stochastic Uncertainties: An L²-based Approach
Mühlpfordt, T.; Faulwasser, T.; Hagenmeyer, V.
2018. 89. Jahrestagung der Gesellschaft für angewandte Mathematik und Mechanik (GAMM 2018), München, Deutschland, 19.–23. März 2018

Optimaler Lastfluss unter nicht-Gauss´schen Unsicherheiten – ein L2 Problem
Mühlpfordt, T.; Faulwasser, T.; Hagenmeyer, V.
2018. 12. Elgersburg Workshop (2018), Ilmenau, Deutschland, 26. Februar–1. März 2018

Considering Forecasting Uncertainties in Scheduling of Energy Systems
Appino, R.; Ordanio, J.; Mikut, R.; Hagenmeyer, V.; Faulwaser, T.
2018. 661. Wilhelm und Else Heraeus Seminar (2018), Bad Honnef, Deutschland, 28.–31. Januar 2018

eASiMOV - A New Framework for Power Grid Analysis
Çakmak, H. K.; Kyesswa, M.; Kühnapfel, U. G.; Hagenmeyer, V.
2018. 7. Annual Conference of the KIT Energy Center (2018), Karlsruhe, Deutschland, 26. Juni 2018. doi:10.13140/RG.2.2.15952.20480

IT-security of cyber-physical systems for the future interacting energy system
Reibelt, K.; Elbez, G.; Schneider, O.; Matthes, J.; Keller, H. B.; Hagenmeyer, V.
2018. 7. Jahrestagung des KIT-Zentrums Energie (2018), Karlsruhe, Deutschland, 26. Juni 2018

Analysis of cyber-physical attacks against the future energy system
Elbez, G.; Reibelt, K.; Schneider, O.; Matthes, J.; Keller, H. B.; Hagenmeyer, V.
2018. 7. Jahrestagung des KIT-Zentrums Energie (2018), Karlsruhe, Deutschland, 26. Juni 2018

Assessment of a multi-agent mixed-integer optimization algorithm for battery scheduling
Murray, A.; Faulwasser, T.; Hagenmeyer, V.
2018. 9th ACM International Conference on Future Energy Systems (e-Energy 2018), Karlsruhe, Deutschland, 12.–15. Juni 2018

Smart Grid resilience - security of supply 2.0
Ottenburger, S. S.; Cakmak, H. K.; Jakob, W.; Blattmann, A.; Deines, E.; Trybushnyi, D.; Raskob, W.; Hagenmeyer, V.
2018. 7. Jahrestagung des KIT-Zentrums Energie (2018), Karlsruhe, Deutschland, 26. Juni 2018

An extendable and scalable simulation tool for the analysis of power system dynamics in large and complex networks
Kyesswa, M.; Cacmak, H.; Kühnapfel, U.; Hagenmeyer, V.
2018. 661. Wilhelm und Else Heraeus Seminar (2018), Bad Honnef, Deutschland, 28.–31. Januar 2018

Optimal Power Flow with non-Gaussian Uncertainties
Mühlpfordt, T.; Hagenmeyer, V.; Faulwasser, T.
2018. 661. Wilhelm und Else Heraeus Seminar (2018), Bad Honnef, Deutschland, 28.–31. Januar 2018

Mixed-Integer vs. Real-Valved Formulations of Distributed Scheduling of Energy Systems
Murray, A.; Hagenmeyer, V.; Faulwasser, T.
2018. 661. Wilhelm und Else Heraeus Seminar (2018), Bad Honnef, Deutschland, 28.–31. Januar 2018

Dataset accompanying "How much demand side flexibility do we need? - Analyzing where to exploit flexibility in industrial processes"
Barth, L.; Hagenmeyer, V.; Ludwig, N.; Wagner, D.
2018. doi:10.5445/IR/1000082194

Energy forecasting tools and services
González Ordiano, J. Á.; Waczowicz, S.; Hagenmeyer, V.; Mikut, R.
2017. Wiley interdisciplinary reviews / Data mining and knowledge discovery, 8 (2), Art.Nr. e1235. doi:10.1002/widm.1235

Poster Abstract: Implementation of an extended generator subsystem in OpenModelica and comparative analysis with DIgSILENT PowerFactory
Kyesswa, M.; Çakmak, H. K.; Kühnapfel, U.; Hagenmeyer, V.
2017. Computer science - research and development, 1–3. doi:10.1007/s00450-017-0370-7

Technical Potential of Buildings in Germany as Flexible Power-to-Heat Storage for Smart-Grid Operation
Kohlhepp, P.; Hagenmeyer, V.
2017. Energy technology, 5 (7), 1084–1104. doi:10.1002/ente.201600655

Integrated Research as Key to the Development of a Sustainable Geothermal Energy Technology
Meller, C.; Bremer, J.; Ankit, K.; Baur, S.; Bergfeldt, T.; Blum, P.; Canic, T.; Eiche, E.; Gaucher, E.; Hagenmeyer, V.; Heberling, F.; Held, S.; Herfurth, S.; Isele, J.; Kling, T.; Kuhn, D.; Mayer, D.; Müller, B.; Nestler, B.; Neumann, T.; Nitschke, F.; Nothstein, A.; Nusiaputra, Y.; Orywall, P.; Peters, M.; Sahara, D.; Schäfer, T.; Schill, E.; Schilling, F.; Schröder, E.; Selzer, M.; Stoll, M.; Wiemer, H.-J.; Wolf, S.; Zimmermann, M.; Kohl, T.
2017. Energy technology, 5 (7), 965–1006. doi:10.1002/ente.201600579

Generator Model Extension for Higher Accuracy Simulation of Power System Transients in OpenModelica
Kyesswa, M.; Cakmak, H. K.; Kuhnapfel, U.; Hagenmeyer, V.
2017. 2017 Fourth International Conference on Mathematics and Computers in Sciences and in Industry (MCSI), Corfu, 24–27 August 2017, 44–50, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/MCSI.2017.17

A Matlab-Based Dynamic Simulation Module for Power System Transients Analysis in the eASiMOV Framework
Kyesswa, M.; Cakmak, H.; Kuhnapfel, U.; Hagenmeyer, V.
2017. A Matlab-Based Dynamic Simulation Module for Power System Transients Analysis in the eASiMOV Framework. 2017 UKSim-AMSS 11th European Modelling Symposium (EMS), Manchester, 20–21 November 2017, 157–162, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/EMS.2017.36

Solving optimal power flow with non-Gaussian uncertainties via polynomial chaos expansion
Mühlpfordt, T.; Faulwasser, T.; Roald, L.; Hagenmeyer, V.
2017. 2017 IEEE 56th Annual Conference on Decision and Control (CDC), Melbourne, Australia, 12–15 December 2017, 4490–4496, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CDC.2017.8264321

Mining Flexibility Patterns in Energy Time - Series from Industrial Processes
Ludwig, N.; Waczowicz, S.; Mikut, R.; Hagenmeyer, V.
2017. Proceedings. 27. Workshop Computational Intelligence, Dortmund, 23. - 24. November 2017. Hrsg.: F. Hoffmann, 13–32, KIT Scientific Publishing. doi:10.5445/IR/1000076645

Towards ontology-based network model management and data integration for smart grids
Schumilin, A.; Stucky, K.-U.; Sinn, F.; Hagenmeyer, V.
2017. 2017 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems (MSCPES), Pittsburgh, PA, 21.04.2017, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/MSCPES.2017.8064530

On solving probabilistic load flow for radial grids using polynomial chaos
Appino, R. R.; Muhlpfordt, T.; Faulwasser, T.; Hagenmeyer, V.
2017. 2017 IEEE Manchester PowerTech, Manchester, GB, June 18-22, 2017, 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PTC.2017.7981264

Towards coding strategies for forecasting-based scheduling in smart grids and the energy lab 2.0
Jakob, W.; Gonzalez-Ordiano, J. Á.; Ludwig, N.; Mikut, R.; Hagenmeyer, V.
2017. GECCO ’17 : Proceedings of the Genetic and Evolutionary Computation Conference Companion, Berlin, Germany, 15th - 19th July 2017, 1271–1278, Association for Computing Machinery (ACM). doi:10.1145/3067695.3082481

Enhancing model interchangeability for powerflow studies : An example of a new Hungarian network model in powerfactory and Easimov
Hartmann, B.; Çakmak, H. K.; Kühnapfel, U. G.; Hagenmeyer, V.
2017. Proceedings of the 31st European Conference on Modelling and Simulation (ECMS 2017), Budapest, Hungary, 23rd-26th May 2017, 158–165, European Council for Modelling and Simulation

Lastprognosen (für Fernwärmenetze)
Mikut, R.; Hagenmeyer, V.; Rink, M.
2017. Workshop FPS, Karlsruhe, 26.Oktober 2017

A new concept of a generic co-simulation platform for energy systems modeling
Liu, J.; Düpmeier, C.; Hagenmeyer, V.
2017. Future Technologies Conference (FTC), Vancouver, CDN, November 29-30, 2017

Comments on Truncation Errors for Polynomial Chaos Expansions
Mühlpfordt, T.; Findeisen, R.; Hagenmeyer, V.; Faulwasser, T.
2017, Januar. 56th IEEE Conference on Decision and Control, Melbourne, AUS, December 12-15, 2017

A Matlab-based dynamic simulation module for power system transients analysis in the eAsiMOV framework
Kyesswa, M.; Cakmak, H.; Kühnapfel, U.; Hagenmeyer, V.
2017. 11th European Modelling Symposum on Mathematical Modelling and Computer Simulation (2017), Manchester, Vereinigtes Königreich, 20.–22. November 2017

Real-life laboratory and simulation platform contributing to the successful implementation of the energy transition
Klumpp, M.; Bajohr, S.; Düpmeier, C.; Geisbüsch, J.; Isele, J.; Kühnapfel, U.; Lemmertz, N.; Müller, M.; Pfeifer, P.; Zimmerlin, B.; Zornek, T.; Zunft, S.; Hagenmeyer, V.; Dittmeyer, R.
2017. Integration of Sustainable Energy Conference and Expo (2018), Nürnberg, Deutschland, 17.–18. Juli 2018

Towards distributed mixed-integer scheduling of energy storage systems
Murray, A.; Hagenmeyer, V.; Faulwasser, T.
2017. D-A-CH+ Energieinformatik 2017. The 6th D-A-CH+ Conference on Energy Informatics, Lugano, CH, October 5-6 2017

Generator model extension for higher accuracy simulation of power system transients in OpenModelica
Kyesswa, M.; Cakmak, H. K.; Kühnapfel, U.; Hagenmeyer, V.
2017. 4th International Conference on Mathematics and Computers in Sciences and Industry (MCSI 2017), Corfu, GR, August 24-26, 2017

Solving optimal power flow with non-Gaussian uncertainties via polynomial chaos expansion
Mühlpfordt, T.; Faulwasser, T.; Roald, L.; Hagenmeyer, V.
2017. 56th IEEE Conference on Decision and Control, Melbourne, AUS, December 12-15, 2017

Towards coding strategies for forecasting-based scheduling in smart grids and the energy lab 2.0
Jakob, W.; Gonzalez-Ordiano, J. A.; Ludwig, N.; Mikut, R.; Hagenmeyer, V.
2017. Genetic and Evolutionary Computation Conference (GECCO 2017), Berlin, Deutschland, 15.–19. Juli 2017

On solving probabilistic load flow for radial grids using polynomial chaos
Appino, R. R.; Mühlpfordt, T.; Faulwasser, T.; Hagenmeyer, V.
2017. 12th IEEE PES PowerTech Conference (2017), Manchester, Vereinigtes Königreich, 18.–22. Juni 2017

Stochastic optimal power flow for non-Gaussian uncertainties
Faulwasser, T.; Mühlpfordt, T.; Hagenmeyer, V.
2017. Future Electric Power Systems and the Energy Transition : International Conference, Champery, CH, February 5-9, 2017

Solving stochastic (optimal) power flow via polynomial chaos expansion
Mühlpfordt, T.; Faulwasser, T.; Hagenmeyer, V.
2017. Grid Science Winter School and Conference (2017), Santa Fe, NM, USA, 8.–13. Januar 2017

Implementation f an extended generator sybsystem in OpenModelica and comparative analysis with DIgSILENT PowerFactory
Kyesswa, M.; Cakmak, H. K.; Kühnapfel, U.; Hagenmeyer, V.
2017. 6th D-A-CH+ Conference on Energy Informatics, Lugano, CH, October 5-6, 2017

Optimal power flow with non-Gaussian uncertainties
Mühlpfordt, T.; Faulwasser, T.; Hagenmeyer, V.
2017. SCI Workshop, Karlsruhe, September 11-12, 2017

Optimal power flow with non-Gaussian uncertainties
Mühlpfordt, T.; Faulwasser, T.; Hagenmeyer, V.
2017. Innovationen für die Energie von morgen : 6.Jahrestagung des KIT-Zentrums Energie, Karlsruhe, 2.Juni 2017

Stochastic OPF with non-Gaussian uncertainties. Problem formulation and efficient solution
Mühlpfordt, T.; Faulwasser, T.; Hagenmeyer, V.
2017. Grid Science Winter School and Conference (2017), Santa Fe, NM, USA, 8.–13. Januar 2017

Dezentral und dennoch stabil - Helmholtz-Zentren entwickeln Steuerungsarchitektur für "Energiesystem 2050" - Campusreport am 20.06.2017
Fuchs, S.; Hagenmeyer, V.
2017. doi:10.5445/DIVA/2017-345

Zuverlässige und sichere Software offener Automatisierungssysteme der Zukunft – Herausforderungen und Lösungswege
Keller, H. B.; Schneider, O.; Matthes, J.; Hagenmeyer, V.
2016. Automatisierungstechnik, 64 (12), 930–947. doi:10.1515/auto-2016-0060

Photovoltaic power forecasting using simple data-driven models without weather data
González Ordiano, J. Á.; Waczowicz, S.; Reischl, M.; Mikut, R.; Hagenmeyer, V.
2016. Computer Science - Research and Development, 32 (1-2), 237–246. doi:10.1007/s00450-016-0316-5

Virtual storages as theoretically motivated demand response models for enhanced smat grid operations
Waczowicz, S.; Reischl, M.; Klaiber, S.; Bretschneider, P.; Konotop, I.; Westermann, D.; Hagenmeyer, V.; Mikut, R.
2016. Energy technology, 4 (1), 163–176. doi:10.1002/ente.201500318

Information and communication technology in energy lab 2.0: Smart energies system simulation and control center with an open-street-map-based power flow simulation example
Hagenmeyer, V.; Cakmak, H. K.; Düpmeier, C.; Faulwasser, T.; Isele, J.; Keller, H. B.; Kohlhepp, P.; Kühnapfel, U.; Stucky, U.; Waczowicz, S.; Mikut, R.
2016. Energy Technology, 4 (1), 145–162. doi:10.1002/ente.201500304

Heat Exchanger for Down-Hole Condensation Process Theoretical and Experimental Investigation, Considering Surrounding Fluid Properties
Holbein, B.; Isele, J.; Spatafora, L.; Hagenmeyer, V.; Schulenberg, T.
2016. Geothermal Resources Council Annual Meeting (GRC 2016) : Geothermal Energy Here and Now : Sustainable, Clean, Flexible, Sacramento, California, USA, 23 - 26 October 2016. Ed.:, 949–956, Geothermal Resources Council (GRC)

Solving stochastic AC power flow via polynomial chaos expansion
Mühlpfordt, T.; Faulwasser, T.; Hagenmeyer, V.
2016. 2016 IEEE Conference on Control Applications (CCA), Part of 2016 IEEE Multi-Conference on Systems and Control, Buenos Aires, RA, September 19-22, 2016. Proceedings, 70–76, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CCA.2016.7587824

Heat exchanger for down-hole condensation process
Holbein, B.; Isele, J.; Spatafora, L.; Hagenmeyer, V.; Schulenberg, T.
2016. 40th Geothermal Research Council Annual Meeting, Sacramento, CA, October 23-26, 2016. Technical Session Papers, 949–955

Nearest-Neighbor Based Non-Parametric Probabilistic Forecasting with Applications in Photovoltaic Systems
González Ordiano, J. Á.; Doneit, W.; Waczowicz, S.; Gröll, L.; Mikut, R.; Hagenmeyer, V.
2016. Proceedings. 26. Workshop Computational Intelligence, Dortmund, 24. - 25. November 2016. Hrsg.: F. Hoffmann, 9–30, KIT Scientific Publishing

The GeoKam - A tool for video inspection in hot deep geothermal boreholes
Spatafora, L.; Isele, J.; Holbein, B.; Hagenmeyer, V.
2016. 41st Workshop on Geothermal Reservoir Engineering, Stanford, CA, February 22-24, 2016. Proceedings on CD-ROM, SGP-TR-209

Heating and cooling with geothermal energy. Heat management in an experimental holistic energy grid
Holbein, B.; Isele, J.; Spatafora, L.; Hagenmeyer, V.
2016. 41st Workshop on Geothermal Reservoir Engineering, Stanford, CA, February 22-24, 2016. Proceedings on CD-ROM, SGP-TR-209

How will technology effect our mobile future, digitization, and energy transition?
Hillerbrand, R.; Hagenmeyer, V.; Doppelbauer, M.
2016. 2016 KIT Annual Celebration: Energy, Mobility, and Information in the Focus of Research – Knowledge for Society and the Environment – Hanselka on KIT 2025: Full Use of Synergy Potentials (2016), Karlsruhe, Deutschland, 15. April 2016

Lastprognosen für das Fernwärmenetz der Stadt Karlsruhe
Mikut, R.; Renkamp, N.; Gonzalez Ordiano, J. A.; Ludwig, N.; Schlagel, T.; Waczowicz, S.; Hagenmeyer, V.; Rink, M.; Iser, A.; Hitzel, J.
2016. 4. Workshop der Stadt Karlsruhe mit den KIT-Zentren “Klima und Umwelt” und “Energie” (2016), Karlsruhe, Deutschland, 29. November 2016

Energy projects in KIT-IAI: Energy lab 2.0 and beyond
Mikut, R.; Hagenmeyer, V.
2016. Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung, Ilmenau, 2.Dezember 2016

Solving stochastic AC power flow via polynomial chaos expansion
Mühlpfordt, T.; Faulwasser, T.; Hagenmeyer, V.
2016. 2016 IEEE Conference on Control Applications (CCA), Part of 2016 IEEE Multi-Conference on Systems and Control, Buenos Aires, RA, September 19-22, 2016

Heat exchanger for down-hole condensation process
Holbein, B.; Isele, J.; Spatafora, L.; Hagenmeyer, V.; Schulenberg, T.
2016. 40th Geothermal Research Council Annual Meeting, Sacramento, CA, October 23-26, 2016

Heating and cooling with geothermal energy. Heat management in an experimental holistic energy grid
Holbein, B.; Isele, J.; Spatafora, L.; Hagenmeyer, V.
2016. 42nd Workshop on Geothermal Reservoir Engineering (2017), San José, CA, USA, 13.–15. Februar 2017

New Data-Driven Probabilistic Forecasting Methods
Gonzalez Ordiano, J. A.; Mikut, R.; Hagenmeyer, V.
2016. Doktorandenworkshop der Initiative EnergieSystem 2050, Friedrichsdorf, 7.-8. Dezember 2016

Data-driven photovoltaic power forecasting
Gonzalez Ordiano, J. A.; Waczowicz, S.; Reischl, M.; Mikut, R.; Hagenmeyer, V.
2016. 5. Jahrestagung des KIT-Zentrums Energie, Blick nach Vorne - Energiesystem 2050, Karlsruhe, 15.Juni 2016

Data processing of high-rate low-voltage distribution grid recordings for smart grid monitoring and analysis
Maaß, H.; Cakmak, H. K.; Bach, F.; Mikut, R.; Harrabi, A.; Süß, W.; Jakob, W.; Stucky, K.-U.; Kühnapfel, U. G.; Hagenmeyer, V.
2015. EURASIP journal on advances in signal processing, 2015 (1), 1–21. doi:10.1186/s13634-015-0203-4

Ein Ansatz zur automatisierten Erstellung umfangreicher und komplexer Simulationsmodelle für elektrische Übertragungsnetze aus OpenStreetMap-Daten = An attempt for fully automated generation of large-scale and complex simulation models for electrical transmission networks derived from OpenStreetMap data
Cakmak, H. K.; Maass, H.; Bach, F.; Kühnapfel, U.; Hagenmeyer, V.
2015. Automatisierungstechnik, 63 (11), 911–925. doi:10.1515/auto-2015-0046

Deadbeat control for electrical drives: A robust and performant design based on differential flatness
Stumper, J. F.; Hagenmeyer, V.; Kuehl, S.; Kennel, R.
2015. IEEE transactions on power electronics, 30, 4585–4596. doi:10.1109/TPEL.2014.2359971

A concept for the control, monitoring and visualization center in energy lab 2.0
Düpmeier, C.; Stucky, K. U.; Mikut, R.; Hagenmeyer, V.
2015. Energy Informatics : 4th D-A-CH Conference, Karlsruhe, November 12-13, 2015. Ed.: S. Gottwalt, 83–94, Springer. doi:10.1007/978-3-319-25876-8_8

Update: Platform based development of down-hole tools
Holbein, B.; Isele, J.; Spatafora, L.; Hagenmeyer, V.
2015. Geothermiekongress 2015, Essen, 2.-4.November 2015, CD-ROM

Design of a novel water sampler for deep geothermal boreholes
Isele, J.; Hagenmeyer, V.
2015. Geothermiekongress 2015, Essen, 2.-4.November 2015, CD-ROM

Demand response clustering - How do dynamic prices affect household electricity consumption?
Waczowicz, S.; Reischl, M.; Hagenmeyer, V.; Mikut, R.; Klaiber, S.; Bretschneider, P.; Konotop, I.; Westermann, D.
2015. Proceedings of IEEE PowerTech 2015, Eindhoven, NL, June 29 - July 2, 2015, Article no 7232493, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PTC.2015.7232493

Information and Communication Technology in Energy Lab 2.0
Hagenmeyer, V.; Çakmak, H. K.; Düpmeier, C.; Faulwasser, T.; Isele, J.; Keller, H. B.; Kohlhepp, P.; Kühnapfel, U.; Stucky, U.; Mikut, R.
2015. Energy, Science and Technology 2015. The energy conference for scientists and researchers. Book of Abstracts, EST, Energy Science Technology, International Conference & Exhibition, 20-22 May 2015, Karlsruhe, Germany, 57, Karlsruher Institut für Technologie (KIT)

A concept for the control, monitoring and visualization center in energy lab 2.0
Düpmeier, C.; Stucky, K. U.; Mikut, R.; Hagenmeyer, V.
2015. 4th D-A-CH Energy Informatics Conference, Karlsruhe, November 12-13, 2015

Update: Platform based development of down-hole tools
Holbein, B.; Isele, J.; Spatafora, L.; Hagenmeyer, V.
2015. Geothermiekongress 2015, Essen, 2.-4.November 2015

Design of a novel water sampler for deep geothermal boreholes
Isele, J.; Hagenmeyer, V.
2015. Geothermiekongress 2015, Essen, 2.-4.November 2015

Why cooling and geothermal go together. Practical and advanced examples of concepts
Holbein, B.; Isele, J.; Spatafora, L.; Hagenmeyer, V.
2015. European Geothermal Workshop (EGW 2015), Strasbourg, F, October 19-20, 2015

Demand response clustering - How do dynamic prices affect household electricity consumption?
Waczowicz, S.; Reischl, M.; Hagenmeyer, V.; Mikut, R.; Klaiber, S.; Bretschneider, P.; Konotop, I.; Westermann, D.
2015. IEEE PowerTech 2015, Eindhoven, NL, June 29 - July 2, 2015

Energy Lab @ KIT
Dittmeyer, R.; Noe, M.; Hagenmeyer, V.; Schmeck, H.; Leibfried, T.
2015. 11th General Assembly of DERLab e.V., Fontainbleau, F, March 20, 2015

Zuverlässige, sichere und beherrschbare Software in der Automatisierung - Wunsch und Wirklichkeit
Keller, H. B.; Schneider, O.; Matthes, J.; Hagenmeyer, V.
2015. IMI 2015 - IT meets Industry, Frankenthal, 29.-30.September 2015

Virtual Storages as Theoretically Motivated Demand Response Models for Enhanced Smart Grid Operations
Waczowicz, S.; Reischl, M.; Klaiber, S.; Bretschneider, P.; Konotop, I.; Westermann, D.; Hagenmeyer, V.; Mikut, R.
2015. Energy, Science and Technology, Conference and Exhibition (EST 2015), Karlsruhe, Deutschland, 20.–22. Mai 2015

Quality Management and Improvement for Geothermal Energy Projects using the Platform Based Tool Development Technology - ZWERG
Holbein, B.; Isele, J.; Spatafora, L.; Hagenmeyer, V.
2015. Energy, Science and Technology, Conference and Exhibition (EST 2015), Karlsruhe, Deutschland, 20.–22. Mai 2015

Virtual storages as theoretically motivated demand response models for enhanced smart grid operation
Waczowicz, S.; Reischl, M.; Klaiber, S.; Bretschneider, P.; Westermann, D.; Hagenmeyer, V.; Mikut, R.
2015. Energy, Science and Technology, Conference and Exhibition (EST 2015), Karlsruhe, Deutschland, 20.–22. Mai 2015

Quality management and improvement for geothermal energy projects using the platform based tool development technology - ZWERG
Holbein, B.; Isele, J.; Spatafora, L.; Hagenmeyer, V.
2015. Energy, Science and Technology, Conference and Exhibition (EST 2015), Karlsruhe, Deutschland, 20.–22. Mai 2015