A Systematic Evaluation of Machine Learning Methods for Fault Detection and Line Identification in Electrical Power Grids
This study assesses the efficacy of various ML models in detecting electrical faults and pinpointing defective transmission lines within a 10 ms measurement interval—a critical time-frame for real-time operational viability, for the first time.
Julian Oelhaf, Georg Kordowich, P. A. Pérez-Toro et al.
· IEEE International Conferenc... · 12 citations