Open access
Jul 2026
AMI-Informed Hierarchical Deep Reinforcement Learning–Model Predictive Control for Coordinated EV, PV, and Battery Energy Management in Campus Microgrids
An AMI-to-control pipeline that transforms historical 15 min smart-meter measurements into operational flexibility features and embeds them into a hierarchical SAC–MPC architecture remains computationally feasible across EV penetration, seasonal, and forecast-uncertainty scenarios.
Mousa A. Aljabri, Mohammed O. Bahabri, Nasser A. Alakhrash et al.
· Energies · 2 citations