Open access
Aug 2026
Real-Time Residential Energy Optimization in Smart Grids: A Deep Reinforcement Learning Framework for Demand-Side Management
A Proximal Policy Optimization-based deep reinforcement learning framework for smart home energy management that learns adaptive scheduling decisions using real-time PV output, electricity price, battery state of charge, EV charging status, and appliance operating conditions is proposed.
Chittemma Yerra, Kiran Teeparthi, R. Naik et al.
· Energies · 0 citations