Abstract: Graph neural networks (GNNs) could directly deal with the data of graph structure. Current GNNs are confined to the spatial domain and learn real low-dimensional embeddings in graph ...
Abstract: This paper develops a power system frequency health index prediction model using the graph attention network (GAT). A range of pre-contingency grid operating conditions at different loading ...
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