Author

Spyros Chatzivasileiadis

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Preprint Aug 2026

Tools to Explain Neural Networks for Power System Dynamics

This paper presents, for the first time in power systems literature to our knowledge, analytical tools to explain the training performance of machine learning surrogate models for power system dynamics. Power system simulations are increasingly challenged by stiff and multi-timescale dynamics arising from converter-int...

Petros Ellinas, Johanna Vorwerk, Spyros Chatzivasileiadis · 0 citations

#machine learning Preprint Aug 2026

RAPTOR: RAndom-projection Physics-informed Transient sOlveR

The complexity of time-domain simulation of modern power systems has increased significantly because converter-based resources introduce control dynamics that must be simulated alongside slower system-level and fast electromagnetic dynamics. The resulting wide range of timescales may force classical time-domain solvers...

Petros Ellinas, Benjamin Vilmann, Spyros Chatzivasileiadis et al. · 0 citations