{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T15:58:37Z","timestamp":1783612717314,"version":"3.55.0"},"reference-count":31,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,4]]},"DOI":"10.1109\/isgt.2017.8086083","type":"proceedings-article","created":{"date-parts":[[2017,10,31]],"date-time":"2017-10-31T14:36:50Z","timestamp":1509460610000},"page":"1-5","source":"Crossref","is-referenced-by-count":25,"title":["Supervised learning for optimal power flow as a real-time proxy"],"prefix":"10.1109","author":[{"given":"Raphael","family":"Canyasse","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gal","family":"Dalal","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shie","family":"Mannor","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/S0098-1354(99)00282-3"},{"key":"ref30","year":"0","journal-title":"Renewable energy analysis lab"},{"key":"ref10","article-title":"Power system economic dispatch using traditional and neural networks programs","author":"abdellah","year":"2012","journal-title":"International Journal of Scientific & Engineering Research"},{"key":"ref11","first-page":"2197","article-title":"Hierarchical decision making in electricity grid management","author":"dalal","year":"2016","journal-title":"Proc 33rd Int Conf Mach Learn"},{"key":"ref12","author":"duchesne","year":"2016","journal-title":"Machine learning of proxies for power systems reliability management"},{"key":"ref13","author":"dalal","year":"2016","journal-title":"Unit commitment using nearest neighbor as a short-term proxy"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2010.2051168"},{"key":"ref15","article-title":"Pattern recognition","volume":"128","author":"bishop","year":"2006","journal-title":"Machine Learning"},{"key":"ref16","author":"schmeiser","year":"1991","journal-title":"On Hit-and-Run Monte Carlo sampling for evaluating multidimensional integrals"},{"key":"ref17","first-page":"338","article-title":"Estimating continuous distributions in bayesian classifiers","author":"john","year":"1995","journal-title":"Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence"},{"key":"ref18","author":"hosmer","year":"2004","journal-title":"Applied Logistic Regression"},{"key":"ref19","author":"breiman","year":"1984","journal-title":"Classification and Regression Trees"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TPAS.1979.319398"},{"key":"ref4","year":"2014","journal-title":"GARPUR Consortium &#x201C;D2 1 functional analysis of reliability management"},{"key":"ref27","first-page":"1","article-title":"Small test systems for power system economic studies","author":"li","year":"2010","journal-title":"IEEE PES General Meeting IEEE"},{"key":"ref3","year":"2015","journal-title":"Global Wind Energy Council"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/0166-3615(93)90131-J"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/59.780914"},{"key":"ref5","first-page":"7","article-title":"Artificial neural networks in electric power industry","volume":"94","author":"bourguet","year":"1994","journal-title":"Isis"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2012.2205391"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/APPEEC.2009.4918036"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/PSCC.2016.7540962"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICRERA.2015.7418642"},{"key":"ref1","year":"2016","journal-title":"GARPUR Consortium &#x201C;D2 2 guidelines for implementing the new reliability assessment and optimization methodology"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/S0925-2312(01)00337-X"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-006-6226-1"},{"key":"ref24","doi-asserted-by":"crossref","first-page":"390","DOI":"10.1152\/jappl.1989.67.1.390","article-title":"Fitting piecewise linear regression functions to biological responses","volume":"67","author":"vieth","year":"1989","journal-title":"Journal of Applied Physiology"},{"key":"ref23","author":"kutner","year":"2004","journal-title":"Applied Linear Regression Models"},{"key":"ref26","year":"0","journal-title":"The Language of Technical Computing"},{"key":"ref25","author":"rasmussen","year":"2006","journal-title":"Gaussian Processes for Machine Learning"}],"event":{"name":"2017 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)","location":"Washington, DC, USA","start":{"date-parts":[[2017,4,23]]},"end":{"date-parts":[[2017,4,26]]}},"container-title":["2017 IEEE Power &amp; Energy Society Innovative Smart Grid Technologies Conference (ISGT)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8070902\/8085952\/08086083.pdf?arnumber=8086083","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,5]],"date-time":"2019-10-05T07:35:59Z","timestamp":1570260959000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8086083\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,4]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/isgt.2017.8086083","relation":{},"subject":[],"published":{"date-parts":[[2017,4]]}}}