Deep Reinforcement Learning for Optimizing Energy Consumption in Smart Grid Systems

Deep Reinforcement Learning for Optimizing Energy Consumption in Smart Grid Systems

• PINNs replace costly smart grid simulators, reducing sample inefficiency in RL-based OPF solutions. • RL policy learning converges 50% faster using PINN surrogates versus traditi