Benjamin Schäfer

53 papers A 1Journal 42Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Predicting Power grid frequency dynamics with invertible Koopman-based architectures. OSMSES Eric Lupascu, Xiao Li, Benjamin Schäfer
2026	J	`jnl`	Predicting power grid frequency dynamics with invertible Koopman-based architectures. CoRR Eric Lupascu, Xiao Li, Benjamin Schäfer
2025	J	`jnl`	A Highly Configurable Framework for Large-Scale Thermal Building Data Generation to drive Machine Learning Research. CoRR Thomas Krug, Fabian Raisch, Dominik Aimer, Markus Wirnsberger, Ferdinand Sigg, Felix Koch, Benjamin Schäfer, Benjamin Tischler
2025	—	`conf`	A review of query systems for temporal n-gram corpora. SCOLIA Fabian Richter, Benjamin Schäfer, Klemens Böhm
2025	J	`jnl`	Analyzing Spatio-Temporal Dynamics of Dissolved Oxygen for the River Thames using Superstatistical Methods and Machine Learning. CoRR Hankun He, Takuya Boehringer, Benjamin Schäfer, Kate Heppell, Christian Beck
2025	J	`jnl`	BUILDA: A Thermal Building Data Generation Framework for Transfer Learning. CoRR Thomas Krug, Fabian Raisch, Dominik Aimer, Markus Wirnsberger, Ferdinand Sigg, Benjamin Schäfer, Benjamin Tischler
2025	J	`jnl`	Cyber-Physical Systems on the Megawatt Scale: The impact of battery control on grid frequency stability. CoRR Carsten Hartmann, Edoardo De Din, Daniele Carta, Florian Middelkoop, Arndt Neubauer, Johannes Kruse, Ulrich Oberhofer, Richard Jumar, Benjamin Schäfer, Thiemo Pesch, Andrea Benigni, Dirk Witthaut
2025	J	`jnl`	Explainable time-series forecasting with sampling-free SHAP for Transformers. CoRR Matthias Hertel, Sebastian Pütz, Ralf Mikut, Veit Hagenmeyer, Benjamin Schäfer
2025	J	`jnl`	Learning the Frequency Dynamics of the Power System Using Higher-order Dynamic Mode Decomposition. CoRR Xiao Li, Xinyi Wen, Benjamin Schäfer
2025	—	`conf`	Probabilistic and Explainable Machine Learning for Tabular Power Grid Data. e-Energy Alexandra Nikoltchovska, Sebastian Pütz, Xiao Li, Veit Hagenmeyer, Benjamin Schäfer
2025	A	`conf`	Real-E: A Foundation Benchmark for Advancing Robust and Generalizable Electricity Forecasting. CIKM Chen Shao, Michael Färber, Sebastian Pütz, Benjamin Schäfer, Yue Wang, Tobias Käfer, Zhanbo Huang, Zhenyi Zhu
2025	J	`jnl`	Real-E: A Foundation Benchmark for Advancing Robust and Generalizable Electricity Forecasting. CoRR Chen Shao, Yue Wang, Zhenyi Zhu, Zhanbo Huang, Sebastian Pütz, Benjamin Schäfer, Tobias Käfer, Michael Färber
2024	—	`conf`	Feasibility of Forecasting Highly Resolved Power Grid Frequency Utilizing Temporal Fusion Transformers. e-Energy Sebastian Pütz, Hadeer El Ashhab, Matthias Hertel, Ralf Mikut, Markus Götz, Veit Hagenmeyer, Benjamin Schäfer
2024	—	`conf`	Identifying Complex Dynamics of Power Grid Frequency. e-Energy Xinyi Wen, Ulrich Oberhofer, Leonardo Rydin Gorjão, G. Cigdem Yalcin, Veit Hagenmeyer, Benjamin Schäfer
2024	J	`jnl`	Why Reinforcement Learning in Energy Systems Needs Explanations. CoRR Hallah Shahid Butt, Benjamin Schäfer
2023	J	`jnl`	An Explainable Framework for Machine learning-Based Reactive Power Optimization of Distribution Network. CoRR Wenlong Liao, Benjamin Schäfer, Dalin Qin, Gonghao Zhang, Zhixian Wang, Zhe Yang
2023	J	`jnl`	Microscopic Fluctuations in Power-Grid Frequency Recordings at the Subsecond Scale. Complex. Benjamin Schäfer, Leonardo Rydin Gorjão, G. Cigdem Yalcin, Ellen Förstner, Richard Jumar, Heiko Maaß, Uwe G. Kühnapfel, Veit Hagenmeyer
2023	J	`jnl`	Non-linear, bivariate stochastic modelling of power-grid frequency applied to islands. CoRR Ulrich Oberhofer, Leonardo Rydin Gorjão, G. Cigdem Yalcin, Oliver Kamps, Veit Hagenmeyer, Benjamin Schäfer
2023	J	`jnl`	Non-standard power grid frequency statistics in Asia, Australia, and Europe. CoRR Xinyi Wen, Mehrnaz Anvari, Leonardo Rydin Gorjão, G. Cigdem Yalcin, Veit Hagenmeyer, Benjamin Schäfer
2023	—	`conf`	Probabilistic Forecasting of Day-Ahead Electricity Prices and their Volatility with LSTMs. ISGT EUROPE Julius Trebbien, Sebastian Pütz, Benjamin Schäfer, Heidi S. Nygård, Leonardo Rydin Gorjão, Dirk Witthaut
2023	J	`jnl`	Probabilistic Forecasting of Day-Ahead Electricity Prices and their Volatility with LSTMs. CoRR Julius Trebbien, Sebastian Pütz, Benjamin Schäfer, Heidi S. Nygård, Leonardo Rydin Gorjão, Dirk Witthaut
2023	—	`conf`	Regulatory Changes in German and Austrian Power Systems Explored with Explainable Artificial Intelligence. e-Energy (Companion) Sebastian Pütz, Johannes Kruse, Dirk Witthaut, Veit Hagenmeyer, Benjamin Schäfer
2023	J	`jnl`	Regulatory Changes in Power Systems Explored with Explainable Artificial Intelligence. CoRR Sebastian Pütz, Johannes Kruse, Dirk Witthaut, Veit Hagenmeyer, Benjamin Schäfer
2023	J	`jnl`	Transformer Training Strategies for Forecasting Multiple Load Time Series. CoRR Matthias Hertel, Maximilian Beichter, Benedikt Heidrich, Oliver Neumann, Benjamin Schäfer, Ralf Mikut, Veit Hagenmeyer
2023	J	`jnl`	Transformer training strategies for forecasting multiple load time series. Energy Inform. Matthias Hertel, Maximilian Beichter, Benedikt Heidrich, Oliver Neumann, Benjamin Schäfer, Ralf Mikut, Veit Hagenmeyer
2022	J	`jnl`	Boost short-term load forecasts with synthetic data from transferred latent space information. Energy Inform. Benedikt Heidrich, Lisa Mannsperger, Marian Turowski, Kaleb Phipps, Benjamin Schäfer, Ralf Mikut, Veit Hagenmeyer
2022	J	`jnl`	Inferring Topology of Networks With Hidden Dynamic Variables. IEEE Access Raoul Schmidt, Hauke Haehne, Laura Hillmann, Jose Casadiego, Dirk Witthaut, Benjamin Schäfer, Marc Timme
2022	J	`jnl`	Initial analysis of the impact of the Ukrainian power grid synchronization with Continental Europe. CoRR Philipp C. Böttcher, Leonardo Rydin Gorjão, Christian Beck, Richard Jumar, Heiko Maaß, Veit Hagenmeyer, Dirk Witthaut, Benjamin Schäfer
2022	J	`jnl`	Microscopic fluctuations in power-grid frequency recordings at the sub-second scale. CoRR Benjamin Schäfer, Leonardo Rydin Gorjão, G. Cigdem Yalcin, Ellen Förstner, Richard Jumar, Heiko Maaß, Uwe G. Kühnapfel, Veit Hagenmeyer
2022	J	`jnl`	Phase and Amplitude Synchronization in Power-Grid Frequency Fluctuations in the Nordic Grid. IEEE Access Leonardo Rydin Gorjão, Luigi Vanfretti, Dirk Witthaut, Christian Beck, Benjamin Schäfer
2022	J	`jnl`	Physics-inspired machine learning for power grid frequency modelling. CoRR Johannes Kruse, Eike Cramer, Benjamin Schäfer, Dirk Witthaut
2022	J	`jnl`	Predicting the power grid frequency of European islands. CoRR Thorbjørn Lund Onsaker, Heidi S. Nygård, Damià Gomila, Pere Colet, Ralf Mikut, Richard Jumar, Heiko Maaß, Uwe G. Kühnapfel, Veit Hagenmeyer, Dirk Witthaut, Benjamin Schäfer
2022	J	`jnl`	Revealing interactions between HVDC cross-area flows and frequency stability with explainable AI. CoRR Sebastian Pütz, Benjamin Schäfer, Dirk Witthaut, Johannes Kruse
2022	J	`jnl`	Revealing interactions between HVDC cross-area flows and frequency stability with explainable AI. Energy Inform. Sebastian Pütz, Benjamin Schäfer, Dirk Witthaut, Johannes Kruse
2022	J	`jnl`	Understanding Braess' Paradox in power grids. CoRR Benjamin Schäfer, Thiemo Pesch, Debsankha Manik, Julian Gollenstede, Guosong Lin, Hans-Peter Beck, Dirk Witthaut, Marc Timme
2022	J	`jnl`	Understanding electricity prices beyond the merit order principle using explainable AI. CoRR Julius Trebbien, Leonardo Rydin Gorjão, Aaron Praktiknjo, Benjamin Schäfer, Dirk Witthaut
2022	J	`jnl`	Validation Methods for Energy Time Series Scenarios From Deep Generative Models. IEEE Access Eike Cramer, Leonardo Rydin Gorjão, Alexander Mitsos, Benjamin Schäfer, Dirk Witthaut, Manuel Dahmen
2021	—	`conf`	Exploring deterministic frequency deviations with explainable AI. SmartGridComm Johannes Kruse, Benjamin Schäfer, Dirk Witthaut
2021	J	`jnl`	Exploring deterministic frequency deviations with explainable AI. CoRR Johannes Kruse, Benjamin Schäfer, Dirk Witthaut
2021	J	`jnl`	How Decentral Smart Grid Control limits non-Gaussian power grid frequency fluctuations. CoRR Benjamin Schäfer, Dirk Witthaut, Marc Timme
2021	J	`jnl`	Phase and amplitude synchronisation in power-grid frequency fluctuations in the Nordic Grid. CoRR Leonardo Rydin Gorjão, Luigi Vanfretti, Dirk Witthaut, Christian Beck, Benjamin Schäfer
2021	J	`jnl`	Revealing drivers and risks for power grid frequency stability with explainable AI. CoRR Johannes Kruse, Benjamin Schäfer, Dirk Witthaut
2021	J	`jnl`	Revealing drivers and risks for power grid frequency stability with explainable AI. Patterns Johannes Kruse, Benjamin Schäfer, Dirk Witthaut
2021	J	`jnl`	Secondary control activation analysed and predicted with explainable AI. CoRR Johannes Kruse, Benjamin Schäfer, Dirk Witthaut
2021	J	`jnl`	Secondary frequency control stabilizing voltage dynamics. CoRR Eder Batista Tchawou Tchuisseu, Eric-Donald Ndogmo, Pavel Procházka, Damià Gomila, Paul Woafo, Pere Colet, Benjamin Schäfer
2021	J	`jnl`	Validation Methods for Energy Time Series Scenarios from Deep Generative Models. CoRR Eike Cramer, Leonardo Rydin Gorjão, Alexander Mitsos, Benjamin Schäfer, Dirk Witthaut, Manuel Dahmen
2020	J	`jnl`	Data-Driven Model of the Power-Grid Frequency Dynamics. IEEE Access Leonardo Rydin Gorjão, Mehrnaz Anvari, Holger Kantz, Christian Beck, Dirk Witthaut, Marc Timme, Benjamin Schäfer
2020	J	`jnl`	Power grid frequency data base. CoRR Richard Jumar, Heiko Maaß, Benjamin Schäfer, Leonardo Rydin Gorjão, Veit Hagenmeyer
2020	J	`jnl`	Predictability of Power Grid Frequency. IEEE Access Johannes Kruse, Benjamin Schäfer, Dirk Witthaut
2020	J	`jnl`	Predictability of Power Grid Frequency. CoRR Johannes Kruse, Benjamin Schäfer, Dirk Witthaut
2018	J	`jnl`	Control of active power for synchronization and transient stability of power grids. CoRR Randall Martyr, Benjamin Schäfer, Christian Beck, Vito Latora
2018	—	`conf`	How Decentral Smart Grid Control Limits Non-Gaussian Power Grid Frequency Fluctuations. CCTA Benjamin Schäfer, Dirk Witthaut, Marc Timme
2018	—	`conf`	Isolating the Impact of Trading on Grid Frequency Fluctuations. ISGT Europe Benjamin Schäfer, Marc Timme, Dirk Witthaut