Cui Cheng

Short-Term Wind Power Forecasting Based on Sigmoid-Weighted Soft-Switching Strategy Between XGBoost and BP Neural Networks

Wind power generation is characterized by strong intermittency and volatility, making accurate short-term forecasting essential for reliable power system operation and stable dispatch of power grids. Conventional single-model approaches often struggle to simultaneously maintain overall forecasting accuracy and reliably...