Physics-Informed Machine Learning for Electricity Markets: A NYISO Case Study
Robert Ferrando; Laurent Pagnier; Robert Mieth; Zhirui Liang; Yury Dvorkin; Daniel Bienstock; Michael Chertkov
- Published
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Journal / collection
- IEEE Transactions on Energy Markets, Policy and Regulation
- Research area
- AI & compute
- Source type
- Journal article
- DOI
- 10.1109/tempr.2023.3318197
The original publisher provides the full text and its access options.
Cite this source
Robert Ferrando; Laurent Pagnier; Robert Mieth; Zhirui Liang; Yury Dvorkin; Daniel Bienstock; Michael Chertkov. Physics-Informed Machine Learning for Electricity Markets: A NYISO Case Study. IEEE Transactions on Energy Markets, Policy and Regulation. 2024-03. https://doi.org/10.1109/tempr.2023.3318197