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04/04/2023
Control of Line Pack in Natural Gas System: Balancing Limited Resources under Uncertainty
We build and experiment with a realistic but reduced natural gas model o...
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03/31/2023
A Physics-Informed Machine Learning for Electricity Markets: A NYISO Case Study
This paper addresses the challenge of efficiently solving the optimal po...
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05/23/2022
Machine Learning for Electricity Market Clearing
This paper seeks to design a machine learning twin of the optimal power ...
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10/26/2021
Model Reduction of Swing Equations with Physics Informed PDE
This manuscript is the first step towards building a robust and efficien...
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03/26/2021
Embedding Power Flow into Machine Learning for Parameter and State Estimation
Modern state and parameter estimations in power systems consist of two s...
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02/12/2021