Ferrando, Robert, Pagnier, Laurent, Mieth, Robert, Liang, Zhirui, Dvorkin, Yury, Bienstock, Daniel, and Chertkov, Michael. Physics-Informed Machine Learning for Electricity Markets: A NYISO Case Study. Retrieved from https://par.nsf.gov/biblio/10522252. IEEE Transactions on Energy Markets, Policy and Regulation 2.1 Web. doi:10.1109/TEMPR.2023.3318197.

Ferrando, Robert, Pagnier, Laurent, Mieth, Robert, Liang, Zhirui, Dvorkin, Yury, Bienstock, Daniel, & Chertkov, Michael. Physics-Informed Machine Learning for Electricity Markets: A NYISO Case Study. IEEE Transactions on Energy Markets, Policy and Regulation, 2 (1). Retrieved from https://par.nsf.gov/biblio/10522252. https://doi.org/10.1109/TEMPR.2023.3318197

Ferrando, Robert, Pagnier, Laurent, Mieth, Robert, Liang, Zhirui, Dvorkin, Yury, Bienstock, Daniel, and Chertkov, Michael. "Physics-Informed Machine Learning for Electricity Markets: A NYISO Case Study". IEEE Transactions on Energy Markets, Policy and Regulation 2 (1). Country unknown/Code not available: IEEE. https://doi.org/10.1109/TEMPR.2023.3318197. https://par.nsf.gov/biblio/10522252.

@article{osti_10522252,
place = {Country unknown/Code not available}, title = {Physics-Informed Machine Learning for Electricity Markets: A NYISO Case Study}, url = {https://par.nsf.gov/biblio/10522252}, DOI = {10.1109/TEMPR.2023.3318197}, abstractNote = {}, journal = {IEEE Transactions on Energy Markets, Policy and Regulation}, volume = {2}, number = {1}, publisher = {IEEE}, author = {Ferrando, Robert and Pagnier, Laurent and Mieth, Robert and Liang, Zhirui and Dvorkin, Yury and Bienstock, Daniel and Chertkov, Michael}, }