Abstract: Dynamic State Estimation is a crucial task in power systems. Graph Neural Networks have demonstrated significant potential in dynamic state estimation, for power systems by effectively ...
Abstract: This paper proposes a novel deep reinforcement learning approach, named GRIDDPG (Graph-Reinforced Intelligent Dispatch with Deep Policy Gradient), for intra-day optimization dispatch in ...
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