FDIA-Resilient Dynamic State Estimation for Distribution Networks via LSTM-Integrated RAEC-CKF
This paper proposes a resilient dynamic state estimation method for distribution networks under false data injection attacks by integrating a residual adaptive ensemble cubature Kalman filter with a long short-term memory network to detect anomalies via weighted least squares comparison and restore corrupted data through time-series prediction.