Publikationen

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

Identifying drivers and mitigators for congestion and redispatch in the German electric power system with explainable AI
Titz, M.; Pütz, S.; Witthaut, D.
2024. Applied Energy, 356, 122351. doi:10.1016/j.apenergy.2023.122351

AI serving grid stability: detecting anomalies in automatic frequency restoration data
Beichter, M.; Hertel, M.; Hülsen, H. von; Oberhofer, U.; Pütz, S.
2024, Februar 14. Hessian.AI Industry Challenge Final Event (2024), Online, 13.–14. Februar 2024

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

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

Probabilistic Forecasting of Day-Ahead Electricity Prices and their Volatility with LSTMs
Trebbien, J.; Pütz, S.; Schäfer, B.; Nygård, H. S.; Gorjão, L. R.; Witthaut, D.
2023. Powering solutions for decarbonized and resilient future smartgrids, 5 S., Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ISGTEUROPE56780.2023.10407112

Forecasting Power Grid Frequency Trajectories with Structured State Space Models
Pütz, S.; Schäfer, B.
2023, Juni 28. 14th ACM International Conference on Future Energy Systems (e-Energy 2023), Orlando, FL, USA, 20.–23. Juni 2023. doi:10.1145/3599733.3606298

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

Identifying drivers and mitigators for congestion and redispatch in the German electric power system with explainable AI
Titz, M.; Pütz, S.; Witthaut, D.
2023. doi:10.48550/arXiv.2307.12636