Nahal Azadi

Learning fuzzy normal-operation regimes for interpretable power system anomaly detection

This paper presents an interpretable one-class anomaly detection framework for power systems based on adaptive neuro-fuzzy inference systems (ANFIS). The proposed method is trained exclusively on benign operational data and learns a compact set of fuzzy regimes describing normal...