A customized graph neural network with Gaussian mixture based missing feature handling estimates power system states from limited PMU data and stays accurate across topology changes and PMU failures.
A robust state estimation framework considering measurement correlations and imperfect synchronization,
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Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems
A customized graph neural network with Gaussian mixture based missing feature handling estimates power system states from limited PMU data and stays accurate across topology changes and PMU failures.