Author

J. Oelhaf

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Open access Aug 2026

A standardized framework for machine learning in power system protection

A standardization-oriented framework that turns evaluation assumptions into explicit, reproducible evidence and provides a basis for more comparable, auditable evaluation and future certification-oriented assessment of machine-learning protection functions is proposed.

Julian Oelhaf, Georg Kordowich, Paula Andrea Pérez-Toro et al. · International Journal of Ele... · 0 citations

Preprint Aug 2026

A simulation based dataset of faults and events for machine learning in power systems

The dataset is designed for training, fine-tuning, and benchmarking machine learning models by providing synchronized point-on-wave voltage and current measurements across a diverse set of topologies and voltage levels.

Georg Kordowich, Jonathan Loebel, Julian Oelhaf et al. · 0 citations