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Friedrich-Alexander-University Erlangen-Nuremberg,Pattern Recognition Lab,Erlangen,Germany
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A standardized evaluation framework reveals that even near-perfect machine learning scores in power system protection can be misleading without consistent assessment criteria.
This study assesses the efficacy of various ML models in detecting electrical faults and pinpointing defective transmission lines within a 10 ms measurement intervalâa critical time-frame for real-time operational viability, for the first time.