Construction of an Outlier-Immune Data-Driven Power Flow Model for Model-Absent Distribution Systems
Abstract: For many actual distribution systems, an accurate system model might not be available, so the operator has to fit an approximate power flow model over a set of field measurements. To ...
Abstract: In this paper, a deep reinforcement learning (DRL)-based electric vehicles (EVs) management strategy is proposed to achieve peak shaving and regulate the voltage violations in distribution ...
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