Abstract: Graph Neural Networks (GNNs) have emerged as a fundamental class of models for analyzing graph-structured data, with broad applications spanning social networks, computational neuroscience, ...
Abstract: This paper proposes a meshed distribution network architecture based on solid-state transformers (SSTs) to integrate various distributed energy resources (DERs) such as photovoltaic (PV) ...
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