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System-Wide Emergency Policy for Transitioning from Main to Secondary Fuel
Inspired by the challenges of running the Israel's power system -- with its increasing integration of renewables, significant load uncertainty, and primary reliance on natural gas -- we investigate an emergency scenario where there's a need to transition temporarily to a pricier secondary fuel until the emergency resolves.
A Physics-Informed Machine Learning for Electricity Markets: A NYISO Case Study
This paper addresses the challenge of efficiently solving the optimal power flow problem in real-time electricity markets.
Machine Learning for Electricity Market Clearing
This paper seeks to design a machine learning twin of the optimal power flow (OPF) optimization, which is used in market-clearing procedures by wholesale electricity markets.
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