most citedA Scoping Review of Machine Learning Applications in Power System Protection and Disturbance Management

22 citations · 23 across the 14 of their papers we have counts for

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cs.LG2026

A Standardized Framework for Machine Learning in Power System Protection

Julian Oelhaf, Georg Kordowich, Paula Andrea Pérez-Toro +4

Studies of machine-learning-based power-system protection increasingly report near-perfect scores, yet the meaning of those scores depends strongly on the evaluation setting. Prote…

cs.LG2026

Parameter-Efficient Domain Adaptation of Physics-Informed Self-Attention based GNNs for AC Power Flow Prediction

Redwanul Karim, Changhun Kim, Timon Conrad +7

Accurate AC power flow (AC-PF) prediction under domain shift is critical when models trained on medium-voltage (MV) grids are deployed on high-voltage (HV) networks. Existing physi…

cs.LG20251 cited

Robustness Evaluation of Machine Learning Models for Fault Classification and Localization In Power System Protection

Julian Oelhaf, Mehran Pashaei, Georg Kordowich +4

The growing penetration of renewable and distributed generation is transforming power systems and challenging conventional protection schemes that rely on fixed settings and local…

cs.LG202522 cited

A Scoping Review of Machine Learning Applications in Power System Protection and Disturbance Management

Julian Oelhaf, Georg Kordowich, Mehran Pashaei +4

The integration of renewable and distributed energy resources reshapes modern power systems, challenging conventional protection schemes. This scoping review synthesizes recent lit…

cs.LG2025

Unsupervised Clustering for Fault Analysis in High-Voltage Power Systems Using Voltage and Current Signals

Julian Oelhaf, Georg Kordowich, Andreas Maier +3

The widespread use of sensors in modern power grids has led to the accumulation of large amounts of voltage and current waveform data, especially during fault events. However, the…

cs.LG2025

Impact of Data Sparsity on Machine Learning for Fault Detection in Power System Protection

Julian Oelhaf, Georg Kordowich, Changhun Kim +4

Germany's transition to a renewable energy-based power system is reshaping grid operations, requiring advanced monitoring and control to manage decentralized generation. Machine le…