Open access
Sep 2026
Hybrid DNN and EnKF framework for dynamic state estimation in power systems
A deep neural network-based dynamic SE framework with physics-constrained and ensemble Kalman filter-guided training that jointly incorporates prior-state supervision, EnKF-based covariance-aware correction, and nonlinear AC measurement consistency is proposed.
Teng-Fei Zhang, Xue Li, Jun-Biao Yang
· Engineering Research Express · 0 citations