How Decentral Smart Grid Control Limits Non-Gaussian Power Grid Frequency Fluctuations. - Benjamin Schäfer 001; Dirk Witthaut; Marc Timme (CCTA, 2018)

Isolating the Impact of Trading on Grid Frequency Fluctuations. - Benjamin Schäfer 001; Marc Timme; Dirk Witthaut (ISGT Europe, 2018)

Control of active power for synchronization and transient stability of power grids. - Randall Martyr; Benjamin Schäfer 001; Christian Beck; Vito Latora (CoRR, 2018)

Data-Driven Model of the Power-Grid Frequency Dynamics. - Leonardo Rydin Gorjão; Mehrnaz Anvari; Holger Kantz; Christian Beck; Dirk Witthaut; Marc Timme; Benjamin Schäfer 001 (IEEE Access, 2020)

Predictability of Power Grid Frequency. - Johannes Kruse 001; Benjamin Schäfer 001; Dirk Witthaut (IEEE Access, 2020)

Power grid frequency data base. - Richard Jumar; Heiko Maaß; Benjamin Schäfer 001; Leonardo Rydin Gorjão; Veit Hagenmeyer (CoRR, 2020)

Exploring deterministic frequency deviations with explainable AI. - Johannes Kruse 001; Benjamin Schäfer 001; Dirk Witthaut (SmartGridComm, 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 001 (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 001 (CoRR, 2021)

Secondary control activation analysed and predicted with explainable AI. - Johannes Kruse 001; Benjamin Schäfer 001; Dirk Witthaut (CoRR, 2021)

Revealing drivers and risks for power grid frequency stability with explainable AI. - Johannes Kruse 001; Benjamin Schäfer 001; Dirk Witthaut (Patterns, 2021)

Validation Methods for Energy Time Series Scenarios From Deep Generative Models. - Eike Cramer; Leonardo Rydin Gorjão; Alexander Mitsos; Benjamin Schäfer 001; Dirk Witthaut; Manuel Dahmen (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 001 (IEEE Access, 2022)

Inferring Topology of Networks With Hidden Dynamic Variables. - Raoul Schmidt; Hauke Haehne; Laura Hillmann; Jose Casadiego; Dirk Witthaut; Benjamin Schäfer 001; Marc Timme (IEEE Access, 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 001 (CoRR, 2022)

Microscopic fluctuations in power-grid frequency recordings at the sub-second scale. - Benjamin Schäfer 001; Leonardo Rydin Gorjão; G. Cigdem Yalcin; Ellen Förstner; Richard Jumar; Heiko Maaß; Uwe G. Kühnapfel; Veit Hagenmeyer (CoRR, 2022)

Understanding Braess' Paradox in power grids. - Benjamin Schäfer 001; Thiemo Pesch; Debsankha Manik; Julian Gollenstede; Guosong Lin; Hans-Peter Beck; Dirk Witthaut; Marc Timme (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 001 (CoRR, 2022)

Physics-inspired machine learning for power grid frequency modelling. - Johannes Kruse 001; Eike Cramer; Benjamin Schäfer 001; Dirk Witthaut (CoRR, 2022)

Understanding electricity prices beyond the merit order principle using explainable AI. - Julius Trebbien; Leonardo Rydin Gorjão; Aaron Praktiknjo; Benjamin Schäfer 001; Dirk Witthaut (CoRR, 2022)

Boost short-term load forecasts with synthetic data from transferred latent space information. - Benedikt Heidrich; Lisa Mannsperger; Marian Turowski; Kaleb Phipps; Benjamin Schäfer 001; Ralf Mikut; Veit Hagenmeyer (Energy Inform., 2022)

Revealing interactions between HVDC cross-area flows and frequency stability with explainable AI. - Sebastian Pütz; Benjamin Schäfer 001; Dirk Witthaut; Johannes Kruse 001 (Energy Inform., 2022)

Regulatory Changes in German and Austrian Power Systems Explored with Explainable Artificial Intelligence. - Sebastian Pütz; Johannes Kruse 001; Dirk Witthaut; Veit Hagenmeyer; Benjamin Schäfer 001 (e-Energy (Companion), 2023)

Probabilistic Forecasting of Day-Ahead Electricity Prices and their Volatility with LSTMs. - Julius Trebbien; Sebastian Pütz; Benjamin Schäfer 001; Heidi S. Nygård; Leonardo Rydin Gorjão; Dirk Witthaut (ISGT EUROPE, 2023)

Microscopic Fluctuations in Power-Grid Frequency Recordings at the Subsecond Scale. - Benjamin Schäfer 001; Leonardo Rydin Gorjão; G. Cigdem Yalcin; Ellen Förstner; Richard Jumar; Heiko Maaß; Uwe G. Kühnapfel; Veit Hagenmeyer (Complex., 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 001 (CoRR, 2023)

Regulatory Changes in Power Systems Explored with Explainable Artificial Intelligence. - Sebastian Pütz; Johannes Kruse 001; Dirk Witthaut; Veit Hagenmeyer; Benjamin Schäfer 001 (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 001 (CoRR, 2023)

An Explainable Framework for Machine learning-Based Reactive Power Optimization of Distribution Network. - Wenlong Liao; Benjamin Schäfer 001; Dalin Qin; Gonghao Zhang; Zhixian Wang; Zhe Yang 007 (CoRR, 2023)

Transformer training strategies for forecasting multiple load time series. - Matthias Hertel; Maximilian Beichter; Benedikt Heidrich; Oliver Neumann; Benjamin Schäfer 001; Ralf Mikut; Veit Hagenmeyer (Energy Inform., 2023)

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 001 (e-Energy, 2024)

Identifying Complex Dynamics of Power Grid Frequency. - Xinyi Wen; Ulrich Oberhofer; Leonardo Rydin Gorjão; G. Cigdem Yalcin; Veit Hagenmeyer; Benjamin Schäfer 001 (e-Energy, 2024)

Why Reinforcement Learning in Energy Systems Needs Explanations. - Hallah Shahid Butt; Benjamin Schäfer 001 (CoRR, 2024)

Probabilistic and Explainable Machine Learning for Tabular Power Grid Data. - Alexandra Nikoltchovska; Sebastian Pütz; Xiao Li; Veit Hagenmeyer; Benjamin Schäfer 001 (e-Energy, 2025)

Analyzing Spatio-Temporal Dynamics of Dissolved Oxygen for the River Thames using Superstatistical Methods and Machine Learning. - Hankun He; Takuya Boehringer; Benjamin Schäfer 001; Kate Heppell; Christian Beck (CoRR, 2025)

Learning the Frequency Dynamics of the Power System Using Higher-order Dynamic Mode Decomposition. - Xiao Li; Xinyi Wen; Benjamin Schäfer 001 (CoRR, 2025)