Zhi Miao

Deep reinforcement learning-based economic dispatch strategy for automation-oriented renewable grid integration

Automation-oriented dispatch centers, renewable microgrids, logistics-park charging hubs, and transportation-energy facilities require rapid and reliable scheduling under volatile load, renewable output, electricity prices, and network-security margins. This paper proposes a constraint-aware deep reinforcement learning...