most citedA Physics-Informed Machine Learning for Electricity Markets: A NYISO Case Study

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math.OC2023

Data-Driven Inverse Optimization for Marginal Offer Price Recovery in Electricity Markets

Zhirui Liang, Yury Dvorkin

This paper presents a data-driven inverse optimization (IO) approach to recover the marginal offer prices of generators in a wholesale energy market. By leveraging underlying marke…