Towards Practical Physics-Informed ML Design and Evaluation for Power
Grid

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Towards Practical Physics-Informed ML Design and Evaluation for Power Grid

7 May 2022

Amritanshu Pandey

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Papers citing "Towards Practical Physics-Informed ML Design and Evaluation for Power Grid"

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Title
State Estimation in Electric Power Systems Leveraging Graph Neural Networks O. Kundacina M. Cosovic D. Vukobratović 45 23 0 11 Jan 2022
DC3: A learning method for optimization with hard constraints P. Donti David Rolnick J. Zico Kolter AI4CE 79 196 0 25 Apr 2021
Dynamic Graph-Based Anomaly Detection in the Electrical Grid Shimiao Li Amritanshu Pandey Bryan Hooi Christos Faloutsos L. Pileggi 55 32 0 30 Dec 2020
Physics-Guided Deep Neural Networks for Power Flow Analysis Xinyue Hu Haoji Hu Saurabh Verma Zhi-Li Zhang 202 127 0 31 Jan 2020
Hamiltonian Neural Networks S. Greydanus Misko Dzamba J. Yosinski PINN AI4CE 130 899 0 04 Jun 2019
Generalization in Deep Learning Kenji Kawaguchi L. Kaelbling Yoshua Bengio ODL 133 460 0 16 Oct 2017