{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,16]],"date-time":"2026-06-16T15:07:37Z","timestamp":1781622457277,"version":"3.54.5"},"publisher-location":"New York, NY, USA","reference-count":51,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,6,16]],"date-time":"2023-06-16T00:00:00Z","timestamp":1686873600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"US DOE ARPA-e","award":["DE-AR0001300"],"award-info":[{"award-number":["DE-AR0001300"]}]},{"name":"NSF CMMI","award":["1925212"],"award-info":[{"award-number":["1925212"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,6,20]]},"DOI":"10.1145\/3575813.3597356","type":"proceedings-article","created":{"date-parts":[[2023,6,16]],"date-time":"2023-06-16T16:18:31Z","timestamp":1686932311000},"page":"497-509","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Data-Driven Inverse Optimization for Marginal Offer Price Recovery in Electricity Markets"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6856-8979","authenticated-orcid":false,"given":"Zhirui","family":"Liang","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering, Johns Hopkins University, United States of America"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4426-7431","authenticated-orcid":false,"given":"Yury","family":"Dvorkin","sequence":"additional","affiliation":[{"name":"Ralph O\u2019Connor Sustainable Energy Institute; Department of Electrical and Computer Engineering; Department of Civil and System Engineering, Johns Hopkins University, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2023,6,16]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.5555\/3454287.3455145"},{"key":"e_1_3_2_1_2_1","volume-title":"26th Annual European Symposium on Algorithms (ESA","author":"Ahmadian Sara","year":"2018","unstructured":"Sara Ahmadian, Umang Bhaskar, Laura Sanit\u00e0, and Chaitanya Swamy. 2018. Algorithms for inverse optimization problems. In 26th Annual European Symposium on Algorithms (ESA 2018). Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik, Helsinki, Finland, 1\u201314."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.5555\/767778.769030"},{"key":"e_1_3_2_1_4_1","volume-title":"34th International Conference on Machine Learning (ICML","author":"Amos Brandon","year":"2017","unstructured":"Brandon Amos and J.\u00a0Zico Kolter. 2017. Optnet: Differentiable optimization as a layer in neural networks. In 34th International Conference on Machine Learning (ICML 2017). PMLR, Sydney, Australia, 136\u2013145."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1287\/opre.2017.1705"},{"key":"e_1_3_2_1_6_1","volume-title":"Filling gaps in trustworthy development of AI. Science 374, 6573","author":"Avin Shahar","year":"2021","unstructured":"Shahar Avin, Haydn Belfield, Miles Brundage, Gretchen Krueger, Jasmine Wang, Adrian Weller, Markus Anderljung, Igor Krawczuk, David Krueger, Jonathan Lebensold, 2021. Filling gaps in trustworthy development of AI. Science 374, 6573 (2021), 1327\u20131329."},{"key":"e_1_3_2_1_7_1","volume-title":"34th International Conference on Machine Learning (ICML","author":"B\u00e4rmann Andreas","year":"2017","unstructured":"Andreas B\u00e4rmann, Sebastian Pokutta, and Oskar Schneider. 2017. Emulating the expert: Inverse optimization through online learning. In 34th International Conference on Machine Learning (ICML 2017). PMLR, Sydney, Australia, 400\u2013410."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10107-014-0819-4"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3538637.3538871"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.5555\/3216622.3216624"},{"key":"e_1_3_2_1_11_1","volume-title":"Convex optimization","author":"Boyd Stephen","unstructured":"Stephen Boyd and Lieven Vandenberghe. 2004. Convex optimization. Cambridge university press, New York, USA."},{"key":"e_1_3_2_1_12_1","volume-title":"Efficient differentiable quadratic programming layers: an ADMM approach. Computational Optimization and Applications","author":"Butler Andrew","year":"2022","unstructured":"Andrew Butler and Roy\u00a0H Kwon. 2022. Efficient differentiable quadratic programming layers: an ADMM approach. Computational Optimization and Applications (2022), 1\u201328."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2019.09.027"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.2017.2992"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/CDC.2017.8263669"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2019.2891747"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.5555\/3326943.3326952"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcorpfin.2008.09.016"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i02.5509"},{"key":"e_1_3_2_1_20_1","volume-title":"Retrieved","author":"Illinois\u00a0Center for\u00a0a Smarter Electric Grid\u00a0(ICSEG).","year":"2022","unstructured":"Illinois\u00a0Center for\u00a0a Smarter Electric Grid\u00a0(ICSEG). 2022. IEEE 14-Bus System. University of Illinois at Urbana-Champaign. Retrieved Dec. 29, 2022 from https:\/\/icseg.iti.illinois.edu\/ieee-14-bus-system\/"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2007.907444"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.orl.2018.03.007"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2005.05.011"},{"key":"e_1_3_2_1_24_1","volume-title":"Iraj and Daria Terekhov","author":"H.","year":"2021","unstructured":"Elaheh\u00a0H. Iraj and Daria Terekhov. 2021. Comparing inverse optimization and machine learning methods for imputing a convex objective function. arXiv preprint arXiv:2102.10742 (2021), 1\u201317."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.orl.2004.04.007"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1038\/s42254-021-00314-5"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISIC.2011.6045410"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10100-020-00699-1"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2011.06.015"},{"key":"e_1_3_2_1_30_1","volume-title":"Learning from Good and Bad Decisions: A Data-driven Inverse Optimization Approach. arXiv preprint arXiv:2207.02894","author":"Mahmoudzadeh Houra","year":"2022","unstructured":"Houra Mahmoudzadeh and Kimia Ghobadi. 2022. Learning from Good and Bad Decisions: A Data-driven Inverse Optimization Approach. arXiv preprint arXiv:2207.02894 (2022), 1\u201336."},{"key":"e_1_3_2_1_31_1","volume-title":"Risk-Aware Dimensioning and Procurement of Contingency Reserve","author":"Mieth Robert","year":"2022","unstructured":"Robert Mieth, Yury Dvorkin, and Miguel\u00a0A Ortega-Vazquez. 2022. Risk-Aware Dimensioning and Procurement of Contingency Reserve. IEEE Transactions on Power Systems (2022), 1\u201313."},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10107-017-1216-6"},{"key":"e_1_3_2_1_33_1","volume-title":"NYISO. Retrieved","author":"NYISO.","year":"2022","unstructured":"NYISO. 2022. NYISO market clearing results. NYISO. Retrieved Dec. 27, 2022 from http:\/\/mis.nyiso.com\/public\/P-27list.htm"},{"key":"e_1_3_2_1_34_1","volume-title":"NYISO. Retrieved","author":"NYISO.","year":"2022","unstructured":"NYISO. 2022. NYISO price data. NYISO. Retrieved Dec. 27, 2022 from https:\/\/www.nyiso.com\/energy-market-operational-data"},{"key":"e_1_3_2_1_35_1","volume-title":"NYISO. Retrieved","author":"NYISO.","year":"2022","unstructured":"NYISO. 2022. Reliability Needs Assessment Report. NYISO. Retrieved Dec. 27, 2022 from https:\/\/www.nyiso.com\/documents\/20142\/2248793\/2022-RNA-Report.pdf"},{"key":"e_1_3_2_1_36_1","volume-title":"Efficient market-clearing prices in markets with nonconvexities. European journal of operational research 164, 1","author":"O\u2019Neill P.","year":"2005","unstructured":"Richard\u00a0P. O\u2019Neill, Paul\u00a0M. Sotkiewicz, Benjamin\u00a0F. Hobbs, Michael\u00a0H. Rothkopf, and William\u00a0R. Stewart\u00a0Jr. 2005. Efficient market-clearing prices in markets with nonconvexities. European journal of operational research 164, 1 (2005), 269\u2013285."},{"key":"e_1_3_2_1_37_1","volume-title":"Day-Ahead Scheduling Manual. NYISO. Retrieved","author":"Energy\u00a0Market Operations NYISO","year":"2023","unstructured":"NYISO Energy\u00a0Market Operations. 2022. Day-Ahead Scheduling Manual. NYISO. Retrieved Jan. 2, 2023 from https:\/\/www.nyiso.com\/documents\/20142\/2923301\/dayahd_schd_mnl.pdf\/0024bc71-4dd9-fa80-a816-f9f3e26ea53a"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.3846\/13928619.2006.9637758"},{"key":"e_1_3_2_1_39_1","volume-title":"Making gradient descent optimal for strongly convex stochastic optimization. arXiv preprint arXiv:1109.5647","author":"Rakhlin Alexander","year":"2011","unstructured":"Alexander Rakhlin, Ohad Shamir, and Karthik Sridharan. 2011. Making gradient descent optimal for strongly convex stochastic optimization. arXiv preprint arXiv:1109.5647 (2011), 1\u201321."},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2020.2993070"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2012.2234144"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2017.2671743"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2016.2530843"},{"key":"e_1_3_2_1_44_1","volume-title":"Guide 01 Market Participants User\u2019s Guide. NYISO. Retrieved","author":"Services O\u00a0Stakeholder","year":"2023","unstructured":"NYISO\u00a0Stakeholder Services. 2021. Guide 01 Market Participants User\u2019s Guide. NYISO. Retrieved Jan. 2, 2023 from https:\/\/www.nyiso.com\/documents\/20142\/3625950\/mpug.pdf"},{"key":"e_1_3_2_1_45_1","volume-title":"Understanding machine learning: From theory to algorithms","author":"Shalev-Shwartz Shai","unstructured":"Shai Shalev-Shwartz and Shai Ben-David. 2014. Understanding machine learning: From theory to algorithms. Cambridge university press, New York, USA."},{"key":"e_1_3_2_1_46_1","volume-title":"Locational Based Marginal Pricing. NYISO. Retrieved","author":"Srinivasan\u00a0Kumar Mathangi","year":"2023","unstructured":"Mathangi Srinivasan\u00a0Kumar. 2022. Locational Based Marginal Pricing. NYISO. Retrieved Jan. 2, 2023 from https:\/\/www.nyiso.com\/documents\/20142\/3037451\/3-LMBP.pdf\/f7682e03-e921-eaab-09bf-690524b5ade6"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-19212-9_36"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmaa.2016.09.031"},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2022.3192142"},{"key":"e_1_3_2_1_50_1","volume-title":"Retrieved","year":"2023","unstructured":"xxx. 2023. Data supplement: NYISO 1814-bus system. Retrieved Feb. 06, 2023 from https:\/\/github.com\/xxx\/data_supplement_NYISO"},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2009.01.043"}],"event":{"name":"e-Energy '23: The 14th ACM International Conference on Future Energy Systems","location":"Orlando FL USA","acronym":"e-Energy '23","sponsor":["SIGEnergy ACM Special Interest Group on Energy Systems and Informatics"]},"container-title":["Proceedings of the 14th ACM International Conference on Future Energy Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3575813.3597356","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3575813.3597356","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:46:11Z","timestamp":1750178771000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3575813.3597356"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,16]]},"references-count":51,"alternative-id":["10.1145\/3575813.3597356","10.1145\/3575813"],"URL":"https:\/\/doi.org\/10.1145\/3575813.3597356","relation":{},"subject":[],"published":{"date-parts":[[2023,6,16]]},"assertion":[{"value":"2023-06-16","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}