Benjamin Schäfer

Orcid: 0000-0003-1607-9748

Affiliations:
  • Queen Mary University, London, UK


According to our database1, Benjamin Schäfer authored at least 29 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2023
Transformer training strategies for forecasting multiple load time series.
Energy Inform., January, 2023

Non-standard power grid frequency statistics in Asia, Australia, and Europe.
CoRR, 2023

Regulatory Changes in Power Systems Explored with Explainable Artificial Intelligence.
CoRR, 2023

Non-linear, bivariate stochastic modelling of power-grid frequency applied to islands.
CoRR, 2023

Microscopic Fluctuations in Power-Grid Frequency Recordings at the Subsecond Scale.
Complex., 2023

Probabilistic Forecasting of Day-Ahead Electricity Prices and their Volatility with LSTMs.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2023

Regulatory Changes in German and Austrian Power Systems Explored with Explainable Artificial Intelligence.
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.
Energy Inform., 2022

Boost short-term load forecasts with synthetic data from transferred latent space information.
Energy Inform., 2022

Understanding electricity prices beyond the merit order principle using explainable AI.
CoRR, 2022

Physics-inspired machine learning for power grid frequency modelling.
CoRR, 2022

Predicting the power grid frequency of European islands.
CoRR, 2022

Understanding Braess' Paradox in power grids.
CoRR, 2022

Microscopic fluctuations in power-grid frequency recordings at the sub-second scale.
CoRR, 2022

Initial analysis of the impact of the Ukrainian power grid synchronization with Continental Europe.
CoRR, 2022

Inferring Topology of Networks With Hidden Dynamic Variables.
IEEE Access, 2022

Phase and Amplitude Synchronization in Power-Grid Frequency Fluctuations in the Nordic Grid.
IEEE Access, 2022

Validation Methods for Energy Time Series Scenarios From Deep Generative Models.
IEEE Access, 2022

2021
Revealing drivers and risks for power grid frequency stability with explainable AI.
Patterns, 2021

Secondary control activation analysed and predicted with explainable AI.
CoRR, 2021

Secondary frequency control stabilizing voltage dynamics.
CoRR, 2021

Phase and amplitude synchronisation in power-grid frequency fluctuations in the Nordic Grid.
CoRR, 2021

Exploring deterministic frequency deviations with explainable AI.
Proceedings of the IEEE International Conference on Communications, 2021

2020
Power grid frequency data base.
CoRR, 2020

Predictability of Power Grid Frequency.
IEEE Access, 2020

Data-Driven Model of the Power-Grid Frequency Dynamics.
IEEE Access, 2020

2018
Control of active power for synchronization and transient stability of power grids.
CoRR, 2018

Isolating the Impact of Trading on Grid Frequency Fluctuations.
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.
Proceedings of the IEEE Conference on Control Technology and Applications, 2018


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