A Holistic Power Optimization Approach for Microgrid Control Based on Deep Reinforcement Learning
The author presents a holistic data-driven power optimization approach based on deep reinforcement learning for microgrid control, aiming to balance decarbonization, sustainability, and cost-efficiency.