7 citations · 14 across the 13 of their papers we have counts for
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cs.LG2023★ 1 cited
A Physics-Informed Machine Learning for Electricity Markets: A NYISO Case Study
Robert Ferrando, Laurent Pagnier, Robert Mieth +4
This paper addresses the challenge of efficiently solving the optimal power flow problem in real-time electricity markets. The proposed solution, named Physics-Informed Market-Awar…
cs.LG2021★ 1 cited
Physics-Informed Graphical Neural Network for Parameter & State Estimations in Power Systems
Laurent Pagnier, Michael Chertkov
Parameter Estimation (PE) and State Estimation (SE) are the most wide-spread tasks in the system engineering. They need to be done automatically, fast and frequently, as measuremen…