Physics-Aware Neural Networks for Distribution System State Estimation

@article{Zamzam2019PhysicsAwareNN,
  title={Physics-Aware Neural Networks for Distribution System State Estimation},
  author={Ahmed S. Zamzam and Nikos D. Sidiropoulos},
  journal={ArXiv},
  year={2019},
  volume={abs/1903.09669}
}
The distribution system state estimation problem seeks to determine the network state from available measurements. Widely used Gauss-Newton approaches are very sensitive to the initialization and often not suitable for real-time estimation. Learning approaches are very promising for real-time estimation, as they shift the computational burden to an offline training stage. Prior machine learning approaches to power system state estimation have been electrical model-agnostic, in that they did not… CONTINUE READING
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