Xiao-Ying Ren

Soft Regime-Aware Residual Learning for Robust Wind Power Forecasting

Accurate wind power forecasting is essential for reliable power system operation and renewable energy integration. However, strong non-stationarity, nonlinear dynamics, and rapidly changing operating conditions continue to challenge existing forecasting models. To address these issues, this paper proposes a Soft Regime...