{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T18:20:11Z","timestamp":1780510811629,"version":"3.54.1"},"reference-count":31,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2020,11,1]],"date-time":"2020-11-01T00:00:00Z","timestamp":1604188800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,11,1]],"date-time":"2020-11-01T00:00:00Z","timestamp":1604188800000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,11,1]],"date-time":"2020-11-01T00:00:00Z","timestamp":1604188800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,11,1]],"date-time":"2020-11-01T00:00:00Z","timestamp":1604188800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000015","name":"Advanced Grid Modeling Program at the U.S. Department of Energy Office of Electricity","doi-asserted-by":"publisher","award":["DE-OE0000875"],"award-info":[{"award-number":["DE-OE0000875"]}],"id":[{"id":"10.13039\/100000015","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["ECCS 1929975"],"award-info":[{"award-number":["ECCS 1929975"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["TSG-01853-2019"],"award-info":[{"award-number":["TSG-01853-2019"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Smart Grid"],"published-print":{"date-parts":[[2020,11]]},"DOI":"10.1109\/tsg.2020.3008770","type":"journal-article","created":{"date-parts":[[2020,7,13]],"date-time":"2020-07-13T21:49:43Z","timestamp":1594676983000},"page":"5418-5430","source":"Crossref","is-referenced-by-count":39,"title":["Outage Detection in Partially Observable Distribution Systems Using Smart Meters and Generative Adversarial Networks"],"prefix":"10.1109","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6623-4905","authenticated-orcid":false,"given":"Yuxuan","family":"Yuan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2701-6817","authenticated-orcid":false,"given":"Kaveh","family":"Dehghanpour","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0007-5163","authenticated-orcid":false,"given":"Fankun","family":"Bu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0656-0562","authenticated-orcid":false,"given":"Zhaoyu","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2005.10.010"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/UPEC.2012.6398598"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/MPER.2001.4311323"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2013.2281137"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/1541880.1541882"},{"key":"ref13","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Advances in Neural Information Processing Systems (NIPS)"},{"key":"ref14","article-title":"Unsupervised anomaly detection with generative adversarial networks to guide marker discovery","author":"thomas","year":"2017","journal-title":"Information Processing in Medical Imaging (IPMI)"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2765202"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1155\/2013\/702694"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/NAPS46351.2019.8999982"},{"key":"ref18","doi-asserted-by":"crossref","DOI":"10.1201\/b11697","author":"kersting","year":"2016","journal-title":"Distribution System Modeling and Analysis"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2014.2363931"},{"key":"ref28","first-page":"281","article-title":"Random search for hyper-parameter optimization","volume":"13","author":"bergstra","year":"2012","journal-title":"J Mach Learn Res"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2016.2546181"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2018.2794541"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1201\/b16747"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2018.2849845"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1111\/j.2006.0030-1299.14714.x"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRD.2013.2272057"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2014.2345780"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2017.2697440"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2017.2727979"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/61.956755"},{"key":"ref1","year":"2018","journal-title":"Average Frequency and Duration of Electric Distribution Outages Vary by States"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.2172\/1170267"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2535302"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/SmartGridComm.2016.7778762"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273556"},{"key":"ref23","first-page":"271","article-title":"f-GAN: Training generative neural samplers using variational divergence minimization","author":"nowozin","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref26","article-title":"Deep generative image models using a Laplacian pyramid of adversarial networks","author":"denton","year":"2015","journal-title":"Advances in Neural Information Processing Systems (NIPS)"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2019.2893818"}],"container-title":["IEEE Transactions on Smart Grid"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/5165411\/9234085\/9139275-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5165411\/9234085\/09139275.pdf?arnumber=9139275","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T17:15:13Z","timestamp":1651079713000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9139275\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,11]]},"references-count":31,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tsg.2020.3008770","relation":{},"ISSN":["1949-3053","1949-3061"],"issn-type":[{"value":"1949-3053","type":"print"},{"value":"1949-3061","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,11]]}}}