Explainable Machine Learning for Household Electricity Demand Forecasting Using Hybrid Residual Modeling
—This study proposes an interpretable hybrid residual learning framework for household electricity demand prediction under limited data conditions. The framework integrates statistical forecasting models with machine learning residual learners and SHapley Additive exPlanations (SHAP)-based explainability to improve pre...