A Heterogeneous Ensemble Framework Using Hybrid Deep Learning and XGBoost for Hourly Electrical Load Forecasting
Accurate short-term electrical load forecasting is essential for reliable power-system operation, reserve planning, economic dispatch, and the effective integration of variable renewable generation. The nonlinear and time-varying nature of electricity demand makes it difficult for a single forecasting architecture to r...