Abstract: Reactive power regulation is crucial for active distribution networks (ADNs). This paper studies the multi-stage reactive power optimization in ADNs with renewables considering intertemporal ...
Abstract: For on-policy reinforcement learning (RL), discretizing action space for continuous control can easily express multiple modes and is straightforward to optimize. However, without considering ...
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