Physics-informed neural networks are applied to power system state estimation and report up to 83% higher accuracy on unseen data and 93% better performance under data manipulation attacks compared to standard neural networks.
Security of wide-area monitoring, protection, and control (wampac) systems of the smart grid: A survey on challenges and opportunities,
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Robust Power System State Estimation using Physics-Informed Neural Networks
Physics-informed neural networks are applied to power system state estimation and report up to 83% higher accuracy on unseen data and 93% better performance under data manipulation attacks compared to standard neural networks.