301 citations · 1.2k across the 57 of their papers we have counts for
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An Explainable Framework for Machine learning-Based Reactive Power Optimization of Distribution Network
Wenlong Liao, Benjamin Schäfer, Dalin Qin +3
To reduce the heavy computational burden of reactive power optimization of distribution networks, machine learning models are receiving increasing attention. However, most machine…
Probabilistic Forecasting of Day-Ahead Electricity Prices and their Volatility with LSTMs
Julius Trebbien, Sebastian Pütz, Benjamin Schäfer +3
Accurate forecasts of electricity prices are crucial for the management of electric power systems and the development of smart applications. European electricity prices have risen…
Non-standard power grid frequency statistics in Asia, Australia, and Europe
Xinyi Wen, Mehrnaz Anvari, Leonardo Rydin Gorjao +3
The power-grid frequency reflects the balance between electricity supply and demand. Measuring the frequency and its variations allows monitoring of the power balance in the system…
Transformer Training Strategies for Forecasting Multiple Load Time Series
Matthias Hertel, Maximilian Beichter, Benedikt Heidrich +4
In the smart grid of the future, accurate load forecasts on the level of individual clients can help to balance supply and demand locally and to prevent grid outages. While the num…
Local versus global stability in dynamical systems with consecutive Hopf-Bifurcations
Philipp C. Böttcher, Benjamin Schäfer, Stefan Kettemann +2
Quantifying the stability of an equilibrium is central in the theory of dynamical systems as well as in engineering and control. A comprehensive picture must include the response t…
Non-linear, bivariate stochastic modelling of power-grid frequency applied to islands
Ulrich Oberhofer, Leonardo Rydin Gorjão, G. Cigdem Yalcin +3
Mitigating climate change requires a transition away from fossil fuels towards renewable energy. As a result, power generation becomes more volatile and options for microgrids and…