Reinforcement learning-assisted distributionally robust energy management for multi-microgrid networks

This paper proposes a hybrid reinforcement learning–assisted distributionally robust optimization (RL–DRO) framework for robust and economically efficient energy management in interconnected multi-microgrid systems under renewable, demand, and price uncertainty. The framework integrates deep reinfor…

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