{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,20]],"date-time":"2026-06-20T16:38:56Z","timestamp":1781973536738,"version":"3.54.5"},"reference-count":32,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Key Project of Research and Application of Generic Technology of National Quality Foundation","award":["2016YFF0201200"],"award-info":[{"award-number":["2016YFF0201200"]}]},{"name":"State Technology Project","award":["JLB17201900137"],"award-info":[{"award-number":["JLB17201900137"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2021.3100980","type":"journal-article","created":{"date-parts":[[2021,7,28]],"date-time":"2021-07-28T20:01:51Z","timestamp":1627502511000},"page":"107250-107259","source":"Crossref","is-referenced-by-count":99,"title":["Electricity Theft Detection in AMI Based on Clustering and Local Outlier Factor"],"prefix":"10.1109","volume":"9","author":[{"given":"Yanlin","family":"Peng","sequence":"first","affiliation":[{"name":"State Key Laboratory of Alternate Electricity Power System With Renewable Energy Sources, North China Electric Power University, Changping, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yining","family":"Yang","sequence":"additional","affiliation":[{"name":"China Electric Power Research Institute, Haidian, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuejie","family":"Xu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Alternate Electricity Power System With Renewable Energy Sources, North China Electric Power University, Changping, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yang","family":"Xue","sequence":"additional","affiliation":[{"name":"China Electric Power Research Institute, Haidian, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Runan","family":"Song","sequence":"additional","affiliation":[{"name":"China Electric Power Research Institute, Haidian, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5571-9034","authenticated-orcid":false,"given":"Jinping","family":"Kang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Alternate Electricity Power System With Renewable Energy Sources, North China Electric Power University, Changping, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3178-2490","authenticated-orcid":false,"given":"Haisen","family":"Zhao","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Alternate Electricity Power System With Renewable Energy Sources, North China Electric Power University, Changping, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-48674-1_5"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1126\/science.1242072"},{"key":"ref30","doi-asserted-by":"crossref","first-page":"1518","DOI":"10.1126\/science.1205438","article-title":"Detecting novel associations in large data sets","volume":"334","author":"reshef","year":"2011","journal-title":"Science"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2018.2873814"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/EESMS.2015.7175886"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33338-5_11"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2015.2425222"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2017.2785963"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2017.2703842"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2020.2973681"},{"key":"ref17","first-page":"64","article-title":"Abnormal power consumption analysis based on density-based spatial clustering of applications with noise in power systems","volume":"41","author":"tian","year":"2017","journal-title":"Automat Electr Power Syst"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2020.3047864"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.2498\/cit.2006.04.04"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/1143844.1143874"},{"key":"ref4","year":"2013","journal-title":"The First High-Tech Smart Meter Electricity Theft Case in China Reported Solved"},{"key":"ref27","first-page":"92","article-title":"Hardware Trojan detection based on improved Euclidean distance","volume":"43","author":"wang","year":"2017","journal-title":"Comput Eng"},{"key":"ref3","first-page":"189","article-title":"Detection methods of abnormal electricity consumption behaviors: Review and prospect","volume":"42","author":"chen","year":"2018","journal-title":"Automat Electr Power Syst"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/MCS.2014.2364711"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/1148170.1148176"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/Allerton.2012.6483444"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRD.2020.2974132"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2016.2574714"},{"key":"ref2","year":"2017","journal-title":"Electricity Theft and Non-Technical Losses Global Markets Solutions and Vendors"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2013.SUP.0513023"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"1007","DOI":"10.1016\/j.enpol.2010.11.037","article-title":"Electricity theft: Overview, issues, prevention and a smart meter based approach to control theft","volume":"39","author":"depuru","year":"2001","journal-title":"Energy Policy"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRD.2011.2161621"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICDIS.2018.00029"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2010.2051823"},{"key":"ref24","article-title":"Clustering-based and density outlier detection method","author":"tao","year":"2014"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/335191.335388"},{"key":"ref26","first-page":"2405","article-title":"Online identification of measurement abnormality fault based on outlier detection for current transformer in high voltage shunt reactor","volume":"34","author":"teng","year":"2019","journal-title":"Trans China Electrotech Soc"},{"key":"ref25","first-page":"954","article-title":"Application of web mining technology to click fraud detection","volume":"33","author":"li","year":"2012","journal-title":"Eng Comput"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09500192.pdf?arnumber=9500192","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,8]],"date-time":"2022-09-08T20:20:02Z","timestamp":1662668402000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9500192\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3100980","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}