A hierarchical multi-agent reinforcement learning method coordinates mobile power sources and repair crews to restore loads after extreme events in coupled power-transport networks.
Power system resilience enhancement in typhoons using a three-stage day-ahead unit commitment,
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Towards Microgrid Resilience Enhancement via Mobile Power Sources and Repair Crews: A Multi-Agent Reinforcement Learning Approach
A hierarchical multi-agent reinforcement learning method coordinates mobile power sources and repair crews to restore loads after extreme events in coupled power-transport networks.