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eess.SY2026
A simulation based dataset of faults and events for machine learning in power systems
Georg Kordowich, Jonathan Loebel, Julian Oelhaf +4
The integration of inverter-based renewable energy sources into electric grids challenges conventional power system protection. Machine learning-based solutions can address these c…
eess.SY2026
Feature Selection for Fault Prediction in Distribution Systems
Georg Kordowich, Julian Oelhaf, Siming Bayer +3
While conventional power system protection isolates faulty components only after a fault has occurred, fault prediction approaches try to detect faults before they can cause signif…
eess.SY2023
A Physics Informed Machine Learning Method for Power System Model Parameter Optimization
Georg Kordowich, Johann Jaeger
This paper proposes a gradient descent based optimization method that relies on automatic differentiation for the computation of gradients. The method uses tools and techniques ori…