AI-Driven Micro-Load Forecasting for Sustainable Smart Homes Using Lightweight Hybrid Models
Accurate appliance-level forecasting is needed for smart-home energy management because aggregate household forecasts do not reveal which devices create short-term peaks. Many recent approaches also depend on complex deep-learning or ensemble pipelines that are difficult to deploy in resourceconstrained environments an...