Abstract: Hypergraph Neural Networks (HGNNs) are increasingly utilized to analyze complex inter-entity relationships. Traditional HGNN systems, based on a hyperedge-centric dataflow model, ...
Abstract: This paper presents an innovative approach to constructing a digital twin for energy storage converter control using a constrained neural network model. The proposed method incorporates ...
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