Renzo Diony Ramirez-Huaracha

Explainable Machine Learning for Household Electricity Demand Forecasting Using Hybrid Residual Modeling

An interpretable hybrid residual learning framework for household electricity demand prediction under limited data conditions is proposed and suggests that interpretable hybrid residual models represent a reliable alternative for short-term household electricity forecasting in data-scarce urban environments.