Author

Petros Ellinas

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Preprint Aug 2026

Tools to Explain Neural Networks for Power System Dynamics

Analytical tools to explain the training performance of machine learning surrogate models for power system dynamics and develop adaptive loss-weighting strategies to improve and explain why structure-aware neural architectures, such as ActNet, perform better than vanilla NNs are presented.

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

#artificial intelligence Preprint Aug 2026

Safety Screening for Voltage Control in Active Distribution Grids via Distributionally Robust Conformal Screening

Deploying a new control policy for voltage control in active distribution grids requires evidence that physical limits will be satisfied before the policy is tested on the physical grid. This assessment is difficult for two reasons. First, simulations cannot capture every disturbance, modeling error, and device interac...

Sarra Bouchkati, P. Ellinas, Adriana Geisler et al. · 0 citations