Abstract: In addressing the dynamic complexities of grid interconnection for renewable energy sources, this paper introduces an innovative framework that transcends traditional deterministic models.
Abstract: Dynamic graph augmentation is used to improve the performance of dynamic GNNs. Most methods assume temporal locality, meaning that recent edges are more influential than earlier edges.
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