Open access
Sep 2026
Hybrid LSTM–XGBoost Prediction of Power System Dynamic States Under Renewable Integration
With the increasing penetration of renewable energy and inverter-based resources, power systems exhibit stronger uncertainty and nonlinear dynamic characteristics, which increases the need for accurate short-term prediction of dynamic states. This study proposes a hybrid prediction method combining Long Short-Term Memo...
Shu-Jia Guo, Yi-Fan Tong, Xin Tong et al.
· Energies · 0 citations