L. Tanchenko

REINFORCEMENT LEARNING WITH LOAD FORECASTING FOR SMART HOME ENERGY MANAGEMENT

H-UPF is proposed, a hybrid intelligent framework for scalable sequential decision-making in heterogeneous environments under uncertainty that integrates probabilistic multi-horizon forecasting via a Temporal Fusion Transformer with continuous control via Proximal Policy Optimization, embedding predictive quantile distributions directly into the agent’s state representation.