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.
The old and the new: Can physics-informed deep-learning replace traditional linear solvers?
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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.