Abstract: In recent years, Graph Neural Networks (GNNs) have emerged as a powerful tool for network modeling due to their ability to learn complex relationships in graph-structured data. However, the ...
Abstract: Dynamic State Estimation is a crucial task in power systems. Graph Neural Networks have demonstrated significant potential in dynamic state estimation, for power systems by effectively ...
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