Abstract: Graph convolutional networks (GCNs) are emerging neural network models designed to process graph-structured data. Due to massively parallel computations using irregular data structures by ...

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An ambitious data-center project in Utah is going to need about one-quarter of the power the entire state currently uses. David Gray, co-chief executive for the project’s developer, knows he can’t get ...

Abstract: Due to the intermittent nature of renewable energy sources (RESs) such as wind farms or solar farms, integrating these RESs into power systems can result in instability, affecting the power ...