Benjamin Schäfer

According to our database, Benjamin Schäfer authored at least 56 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

PowerSINDy: Identifying Nonlinear Time-Dependent Dynamics in Power Grid Frequency.

Xinyi Wen, Xiao Li, Leonardo Rydin Gorjão, Veit Hagenmeyer, Benjamin Schäfer

CoRR, May, 2026

Energy-Arena: A Dynamic Benchmark for Operational Energy Forecasting.

Max Kleinebrahm, Jonathan Berrisch, Philipp Eiser, Wolf Fichtner, Veit Hagenmeyer, Matthias Hertel, Nils Koster, Sebastian Lerch, Ralf Mikut, Jan Priesmann, Melanie Schienle, Benjamin Schäfer, Jann Michael Weinand, Florian Ziel

CoRR, April, 2026

Assessing the Performance-Efficiency Trade-off of Foundation Models in Probabilistic Electricity Price Forecasting.

Jan Niklas Lettner, Hadeer El Ashhab, Veit Hagenmeyer, Benjamin Schäfer

CoRR, April, 2026

Correlations Matter in Explanations for Energy Systems.

Alexandra Nikoltchovska, Sebastian Pütz, Markus Götz, Benjamin Schäfer

Künstliche Intell., March, 2026

Deep Reinforcement Learning for Price-Aware Building Heating Control.

Qiong Huang, Adrian Till Assmuth, Felix Langner, Benjamin Schäfer, Veit Hagenmeyer

Künstliche Intell., March, 2026

Toward Explainable GNN-Based Dynamic Stability Assessment via Joint Feature Attribution.

Martin Sadric, Benjamin Schäfer

Proceedings of the 2026 ACM Sustainability Week, 2026

Assessing Explanations of Graph Neural Networks for Dynamic Stability Assessment of Power Grids.

Martin Sadric, Sebastian Pütz, Christian Nauck, Veit Hagenmeyer, Frank Hellmann, Benjamin Schäfer

Proceedings of the 2026 ACM Sustainability Week, 2026

Investigating Calibration Challenges in Probabilistic Electricity Price Forecasting.

Jan Niklas Lettner, Hadeer El Ashhab, Benjamin Schäfer

Proceedings of the 2026 ACM Sustainability Week, 2026

BuilDyn: Excitation-Driven Data Generation for Building Thermal Dynamics Modeling and Control.

Felix Koch, Thomas Krug, Fabian Raisch, Benjamin Schäfer, Benjamin Tischler

Proceedings of the 2026 ACM Sustainability Week, 2026

Predicting Power grid frequency dynamics with invertible Koopman-based architectures.

Eric Lupascu, Xiao Li, Benjamin Schäfer

Proceedings of the Open Source Modelling and Simulation of Energy Systems, 2026

Neural Posterior Estimation for Empirical Power System Time Series.

Ulrich Oberhofer, Nicolas Weber, Veit Hagenmeyer, Benjamin Schäfer

Proceedings of the 17th ACM International Conference on Future and Sustainable Energy Systems, 2026

Trans-SAC: Robust and Transferable Maximum Entropy Reinforcement Learning for Heat Pump Control.

Qiong Huang, Adrian Till Assmuth, Felix Langner, Veit Hagenmeyer, Benjamin Schäfer

Proceedings of the 17th ACM International Conference on Future and Sustainable Energy Systems, 2026

Explainable Load Forecasting with Covariate-Informed Time Series Foundation Models.

Matthias Hertel, Alexandra Nikoltchovska, Sebastian Pütz, Benjamin Schäfer, Ralf Mikut, Veit Hagenmeyer

Proceedings of the 17th ACM International Conference on Future and Sustainable Energy Systems, 2026

2025

Explainable time-series forecasting with sampling-free SHAP for Transformers.

Matthias Hertel, Sebastian Pütz, Ralf Mikut, Veit Hagenmeyer, Benjamin Schäfer

CoRR, December, 2025

A Highly Configurable Framework for Large-Scale Thermal Building Data Generation to drive Machine Learning Research.

Thomas Krug, Fabian Raisch, Dominik Aimer, Markus Wirnsberger, Ferdinand Sigg, Felix Koch, Benjamin Schäfer, Benjamin Tischler

CoRR, December, 2025

Cyber-Physical Systems on the Megawatt Scale: The impact of battery control on grid frequency stability.

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

CoRR, October, 2025

BUILDA: A Thermal Building Data Generation Framework for Transfer Learning.

Thomas Krug, Fabian Raisch, Dominik Aimer, Markus Wirnsberger, Ferdinand Sigg, Benjamin Schäfer, Benjamin Tischler

CoRR, August, 2025

Pre-Processed Power Grid Frequency Time Series (2020-2023).

Alexandra Nikoltchovska, Sebastian Pütz, Xiao Li, Veit Hagenmeyer, Benjamin Schäfer

Dataset, July, 2025

Learning the Frequency Dynamics of the Power System Using Higher-order Dynamic Mode Decomposition.

Xiao Li, Xinyi Wen, Benjamin Schäfer

CoRR, February, 2025

Analyzing Spatio-Temporal Dynamics of Dissolved Oxygen for the River Thames using Superstatistical Methods and Machine Learning.

Hankun He, Takuya Boehringer, Benjamin Schäfer, Kate Heppell, Christian Beck

CoRR, January, 2025

A review of query systems for temporal n-gram corpora.

Fabian Richter, Benjamin Schäfer, Klemens Böhm

Proceedings of the First International Workshop on Scholarly Information Access co-located with 47th European Conference on Information Retrieval (ECIR 2025), 2025

Probabilistic and Explainable Machine Learning for Tabular Power Grid Data.

Alexandra Nikoltchovska, Sebastian Pütz, Xiao Li, Veit Hagenmeyer, Benjamin Schäfer

Proceedings of the 16th ACM International Conference on Future and Sustainable Energy Systems, 2025

Real-E: A Foundation Benchmark for Advancing Robust and Generalizable Electricity Forecasting.

Chen Shao, Michael Färber, Sebastian Pütz, Benjamin Schäfer, Yue Wang, Tobias Käfer, Zhanbo Huang, Zhenyi Zhu

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

Why Reinforcement Learning in Energy Systems Needs Explanations.

Hallah Shahid Butt, Benjamin Schäfer

CoRR, 2024

Identifying Complex Dynamics of Power Grid Frequency.

Xinyi Wen, Ulrich Oberhofer, Leonardo Rydin Gorjão, G. Cigdem Yalcin, Veit Hagenmeyer, Benjamin Schäfer

Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems, 2024

Feasibility of Forecasting Highly Resolved Power Grid Frequency Utilizing Temporal Fusion Transformers.

Sebastian Pütz, Hadeer El Ashhab, Matthias Hertel, Ralf Mikut, Markus Götz, Veit Hagenmeyer, Benjamin Schäfer

Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems, 2024

2023

Transformer training strategies for forecasting multiple load time series.

Matthias Hertel, Maximilian Beichter, Benedikt Heidrich, Oliver Neumann, Benjamin Schäfer, Ralf Mikut, Veit Hagenmeyer

Energy Inform., January, 2023

An Explainable Framework for Machine learning-Based Reactive Power Optimization of Distribution Network.

Wenlong Liao, Benjamin Schäfer, Dalin Qin, Gonghao Zhang, Zhixian Wang, Zhe Yang

CoRR, 2023

Non-standard power grid frequency statistics in Asia, Australia, and Europe.

Xinyi Wen, Mehrnaz Anvari, Leonardo Rydin Gorjão, G. Cigdem Yalcin, Veit Hagenmeyer, Benjamin Schäfer

CoRR, 2023

Regulatory Changes in Power Systems Explored with Explainable Artificial Intelligence.

Sebastian Pütz, Johannes Kruse, Dirk Witthaut, Veit Hagenmeyer, Benjamin Schäfer

CoRR, 2023

Non-linear, bivariate stochastic modelling of power-grid frequency applied to islands.

Ulrich Oberhofer, Leonardo Rydin Gorjão, G. Cigdem Yalcin, Oliver Kamps, Veit Hagenmeyer, Benjamin Schäfer

CoRR, 2023

Microscopic Fluctuations in Power-Grid Frequency Recordings at the Subsecond Scale.

Benjamin Schäfer, Leonardo Rydin Gorjão, G. Cigdem Yalcin, Ellen Förstner, Richard Jumar, Heiko Maaß, Uwe G. Kühnapfel, Veit Hagenmeyer

Complex., 2023

Probabilistic Forecasting of Day-Ahead Electricity Prices and their Volatility with LSTMs.

Julius Trebbien, Sebastian Pütz, Benjamin Schäfer, Heidi S. Nygård, Leonardo Rydin Gorjão, Dirk Witthaut

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2023

Regulatory Changes in German and Austrian Power Systems Explored with Explainable Artificial Intelligence.

Sebastian Pütz, Johannes Kruse, Dirk Witthaut, Veit Hagenmeyer, Benjamin Schäfer

Proceedings of the Companion Proceedings of the 14th ACM International Conference on Future Energy Systems, 2023

2022

Revealing interactions between HVDC cross-area flows and frequency stability with explainable AI.

Sebastian Pütz, Benjamin Schäfer, Dirk Witthaut, Johannes Kruse

Energy Inform., 2022

Boost short-term load forecasts with synthetic data from transferred latent space information.

Benedikt Heidrich, Lisa Mannsperger, Marian Turowski, Kaleb Phipps, Benjamin Schäfer, Ralf Mikut, Veit Hagenmeyer

Energy Inform., 2022

Understanding electricity prices beyond the merit order principle using explainable AI.

Julius Trebbien, Leonardo Rydin Gorjão, Aaron Praktiknjo, Benjamin Schäfer, Dirk Witthaut

CoRR, 2022

Physics-inspired machine learning for power grid frequency modelling.

Johannes Kruse, Eike Cramer, Benjamin Schäfer, Dirk Witthaut

CoRR, 2022

Predicting the power grid frequency of European islands.

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

CoRR, 2022

Understanding Braess' Paradox in power grids.

Benjamin Schäfer, Thiemo Pesch, Debsankha Manik, Julian Gollenstede, Guosong Lin, Hans-Peter Beck, Dirk Witthaut, Marc Timme

CoRR, 2022

Microscopic fluctuations in power-grid frequency recordings at the sub-second scale.

Benjamin Schäfer, Leonardo Rydin Gorjão, G. Cigdem Yalcin, Ellen Förstner, Richard Jumar, Heiko Maaß, Uwe G. Kühnapfel, Veit Hagenmeyer

CoRR, 2022

Initial analysis of the impact of the Ukrainian power grid synchronization with Continental Europe.

Philipp C. Böttcher, Leonardo Rydin Gorjão, Christian Beck, Richard Jumar, Heiko Maaß, Veit Hagenmeyer, Dirk Witthaut, Benjamin Schäfer

CoRR, 2022

Inferring Topology of Networks With Hidden Dynamic Variables.

Raoul Schmidt, Hauke Haehne, Laura Hillmann, Jose Casadiego, Dirk Witthaut, Benjamin Schäfer, Marc Timme

IEEE Access, 2022

Phase and Amplitude Synchronization in Power-Grid Frequency Fluctuations in the Nordic Grid.

Leonardo Rydin Gorjão, Luigi Vanfretti, Dirk Witthaut, Christian Beck, Benjamin Schäfer

IEEE Access, 2022

Validation Methods for Energy Time Series Scenarios From Deep Generative Models.

Eike Cramer, Leonardo Rydin Gorjão, Alexander Mitsos, Benjamin Schäfer, Dirk Witthaut, Manuel Dahmen

IEEE Access, 2022

2021

Revealing drivers and risks for power grid frequency stability with explainable AI.

Johannes Kruse, Benjamin Schäfer, Dirk Witthaut

Patterns, 2021

Secondary control activation analysed and predicted with explainable AI.

Johannes Kruse, Benjamin Schäfer, Dirk Witthaut

CoRR, 2021

Secondary frequency control stabilizing voltage dynamics.

Eder Batista Tchawou Tchuisseu, Eric-Donald Ndogmo, Pavel Procházka, Damià Gomila, Paul Woafo, Pere Colet, Benjamin Schäfer

CoRR, 2021

Phase and amplitude synchronisation in power-grid frequency fluctuations in the Nordic Grid.

Leonardo Rydin Gorjão, Luigi Vanfretti, Dirk Witthaut, Christian Beck, Benjamin Schäfer

CoRR, 2021

Exploring deterministic frequency deviations with explainable AI.

Johannes Kruse, Benjamin Schäfer, Dirk Witthaut

Proceedings of the IEEE International Conference on Communications, 2021

2020

Power grid frequency data base.

Richard Jumar, Heiko Maaß, Benjamin Schäfer, Leonardo Rydin Gorjão, Veit Hagenmeyer

CoRR, 2020

Predictability of Power Grid Frequency.

Johannes Kruse, Benjamin Schäfer, Dirk Witthaut

IEEE Access, 2020

Data-Driven Model of the Power-Grid Frequency Dynamics.

Leonardo Rydin Gorjão, Mehrnaz Anvari, Holger Kantz, Christian Beck, Dirk Witthaut, Marc Timme, Benjamin Schäfer

IEEE Access, 2020

2018

Control of active power for synchronization and transient stability of power grids.

Randall Martyr, Benjamin Schäfer, Christian Beck, Vito Latora

CoRR, 2018

Isolating the Impact of Trading on Grid Frequency Fluctuations.

Benjamin Schäfer, Marc Timme, Dirk Witthaut

Proceedings of the 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe, 2018

How Decentral Smart Grid Control Limits Non-Gaussian Power Grid Frequency Fluctuations.

Benjamin Schäfer, Dirk Witthaut, Marc Timme

Proceedings of the IEEE Conference on Control Technology and Applications, 2018