ML models for power system anomaly classification achieve near-perfect offline accuracy but only the MLP sustains high coverage in streaming tests while ensembles abstain frequently.
Machine learning– based intrusion detection for smart grid computing: A survey
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The Wisdom of the Crowd: High-Fidelity Classification of Cyber-Attacks and Faults in Power Systems Using Ensemble and Machine Learning
ML models for power system anomaly classification achieve near-perfect offline accuracy but only the MLP sustains high coverage in streaming tests while ensembles abstain frequently.