Publications

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

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

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

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

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

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

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

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

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

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

Wärmenetz-gekoppelte Speicherung im tiefen Untergrund
Schill, E.; Waczowicz, S.; Kohl, T.; Stricker, K.; Bracke, R.; Sass, I.; Rink, K.
2023. Forschung für die Wärmewende – klimaneutral, ­effizient und flexibel : Beiträge zur FVEE-Jahrestagung 2022, Berlin, 12th -13th October 2022, 96–101, ForschungsVerbund Erneuerbare Energien (FVEE)

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

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

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, June 26. 13th International Symposium on Power Electronics for Distributed Generation Systems (PEDG 2022), Kiel, Germany, June 26–29, 2022

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)

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

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

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

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

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

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

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, June 18. RT20: Opal-RT’s 12th Conference on Real-Time Simulation (2020), Online, June 18, 2020

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

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

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

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

Konzept zur datengetriebenen Analyse und Modellierung des preisbeeinflussten Verbrauchsverhaltens. PhD dissertation
Waczowicz, S.
2018. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000081003

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

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

Prognose für preisbeeinflusstes Verbrauchsverhalten
Klaiber, S.; Waczowicz, S.; Konotop, I.; Westermann, D.; Mikut, R.; Bretschneider, P.
2017. Automatisierungstechnik, 65 (3), 179–188. doi:10.1515/auto-2016-0125

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, Germany, November 29, 2016

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

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

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

Investigation and mathematical modelling of the impact of incentive signals to consumers on their consumption, load forecast and network operation
Konotop, I.; Klaiber, S.; Waczowicz, S.; Bretschneider, P.; Mikut, R.; Westermann, D.
2016. IET generation, transmission and distribution, 10 (9), 2138–2146. doi:10.1049/iet-gtd.2015.1175

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

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

A contribution to the load forecast of price elastic consumption behaviour
Klaiber, S.; Brettschneider, P.; Waczowicz, S.; Mikut, R.; Konotop, I.; Westermann, D.
2015. IEEE PowerTech 2015, Eindhoven, NL, June 29 - July 2, 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. 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

A contribution to the load forecast of price elastic consumption behaviour
Klaiber, S.; Brettschneider, P.; Waczowicz, S.; Mikut, R.; Konotop, I.; Westermann, D.
2015. Proceedings of IEEE PowerTech 2015, Eindhoven, NL, June 29 - July 2, 2015 2015 IEEE Eindhoven PowerTech, 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PTC.2015.7232548

Extended Method to Forecast Price Elastic Consumption Behaviour
Klaiber, S.; Bretschneider, P.; Waczowicz, S.; Mikut, R.; Konotop, I.; Westermann, D.
2015. Energy, Science and Technology, Conference and Exhibition (EST 2015), Karlsruhe, Germany, May 20–22, 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, Germany, May 20–22, 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, Germany, May 20–22, 2015

Extended method to forecast price elastic consumption behaviour
Klaiber, S.; Bretschneider, P.; Waczowicz, S.; Mikut, R.; Konotop, I.; Westermann, D.
2015. Energy, Science and Technology, Conference and Exhibition (EST 2015), Karlsruhe, Germany, May 20–22, 2015

Datengetriebene Modellierung von zeitvariablen Stromtarifen in Verteilnetzen
Waczowicz, S.; Klaiber, S.; Bretschneider, P.; Konotop, I.; Westermann, D.; Reischl, M.; Mikut, R.
2014. 3. Jahrestagung des KIT-Zentrums Energie (2014), Karlsruhe, Germany, June 26, 2014

Data Mining zur Analyse der Auswirkungen von Preissignalen auf Haushaltsstromkunden = Data mining to analyse the effects of price signals on household electricity customers
Waczowicz, S.; Klaiber, S.; Bretschneider, P.; Konotop, I.; Westermann, D.; Reischl, M.; Mikut, R.
2014. Automatisierungstechnik, 62 (10), 740–752. doi:10.1515/auto-2014-1108

Virtuelle Speicher als adaptierbare Verbrauchermodelle zur Lastprognose und Betriebsführung in Verteilnetzen
Waczowicz, S.; Klaiber, S.; Bretschneider, P.; Konotop, I.; Westermann, D.; Mikut, R.
2013. Proceedings. 23. Workshop Computational Intelligence, Dortmund, 5. - 6. Dezember 2013. Hrsg.: F. Hoffmann, 109–128, KIT Scientific Publishing. doi:10.5445/IR/1000037391

Intelligente Prognoseverfahren für beeinflusstes Verbrauchsverhalten in Energiesystemen
Klaiber, S.; Bretschneider, P.; Waczowicz, S.; Mikut, R.; Konotop, I.; Westermann, D.
2013. Proceedings. 23. Workshop Computational Intelligence, Dortmund, 5. - 6. Dezember 2013. Hrsg.: F. Hoffmann, 93–107, KIT Scientific Publishing. doi:10.5445/IR/1000037390/pub

Virtuelle Speicher als adaptierbare Verbrauchermodelle zur Lastprognose und Betriebsführung in Verteilnetzen
Waczowicz, S.; Klaiber, S.; Bretschneider, P.; Konotop, I.; Westermann, D.; Mikut, R.
2013. 23.Workshop Computational Intelligence, Dortmund, 5.-6.Dezember 2013

Intelligente Prognoseverfahren für beeinflusstes Verbrauchsverhalten in Energiesystemen
Klaiber, S.; Bretschneider, P.; Waczowicz, S.; Mikut, R.; Konotop, I.; Westermann, D.
2013. 23.Workshop Computational Intelligence, Dortmund, 5.-6.Dezember 2013