{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T07:47:08Z","timestamp":1761896828987,"version":"3.37.3"},"reference-count":33,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2019,2,1]],"date-time":"2019-02-01T00:00:00Z","timestamp":1548979200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,2,1]],"date-time":"2019-02-01T00:00:00Z","timestamp":1548979200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,2,1]],"date-time":"2019-02-01T00:00:00Z","timestamp":1548979200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"NSF","award":["1640587"],"award-info":[{"award-number":["1640587"]}]},{"name":"Republic of Singapore's National Research Foundation"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Ind. Electron."],"published-print":{"date-parts":[[2019,2]]},"DOI":"10.1109\/tie.2018.2840508","type":"journal-article","created":{"date-parts":[[2018,6,1]],"date-time":"2018-06-01T18:46:50Z","timestamp":1527878810000},"page":"1619-1628","source":"Crossref","is-referenced-by-count":30,"title":["Nonparametric Event Detection in Multiple Time Series for Power Distribution Networks"],"prefix":"10.1109","volume":"66","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4258-2179","authenticated-orcid":false,"given":"Yuxun","family":"Zhou","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0691-5426","authenticated-orcid":false,"given":"Reza","family":"Arghandeh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8063-5211","authenticated-orcid":false,"given":"Han","family":"Zou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Costas J.","family":"Spanos","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","first-page":"79","article-title":"Facets: Fast comprehensive mining of coevolving high-order time series","author":"cai","year":"0","journal-title":"Proc ACM SIGKDD Int Conf Knowledge Discovery and Data Mining"},{"journal-title":"Time Series Analysis Forecasting and Control","year":"2015","author":"box","key":"ref32"},{"key":"ref31","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4614-5369-7","volume":"297","author":"gu","year":"2013","journal-title":"Smoothing Spline ANOVA Models"},{"key":"ref30","first-page":"5962","article-title":"Data-driven event detection with partial\n knowledge: A hidden structure semi-supervised learning method","author":"zhou","year":"0","journal-title":"Proc Am Control Conf"},{"key":"ref10","first-page":"1","article-title":"Distribution network topology\n detection with time-series measurements","author":"cavraro","year":"0","journal-title":"Proc IEEE Power Energy Soc Innovative Smart Grid Technologies Conf"},{"key":"ref11","first-page":"1","article-title":"Data-driven approach for distribution\n network topology detection","author":"cavraro","year":"0","journal-title":"Proceedings of IEEE Power & Energy Society General Meeting"},{"journal-title":"A Wavelet Tour of Signal Processing The Sparse Way","year":"2008","author":"mallat","key":"ref12"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.2307\/2291512"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2016.07.014"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.jprocont.2009.07.011"},{"key":"ref16","first-page":"293","article-title":"Model-based fault detection of a diesel engine with turbo charger—A case study","volume":"1","author":"schwarte","year":"2004","journal-title":"Fault Detection Supervision and Safety of Technical Processes 2003 (SAFEPROCESS 2003) A Proceedings Volume from the 5th IFAC Symposium Washington DC USA 9-11 June 2003"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2012.2221222"},{"key":"ref18","first-page":"1","article-title":"Quasi-static time-series test feeder for PV integration analysis\n on distribution systems","author":"mather","year":"0","journal-title":"Proc Power Energy Soc General Meeting"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TPEL.2015.2393373"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1561\/2200000016"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/376284.375668"},{"journal-title":"Convex Analysis and Optimization","year":"2003","author":"bertsekas","key":"ref27"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2013.184"},{"key":"ref6","first-page":"399","article-title":"Outlier\n detection in graph streams","author":"aggarwal","year":"0","journal-title":"Proc IEEE 27th Int Conf Data Eng"},{"key":"ref29","first-page":"1","article-title":"Multi-task sparse structure learning with Gaussian copula models","volume":"17","author":"gon\u00e7alves","year":"2016","journal-title":"J Mach Learn Res"},{"key":"ref5","first-page":"483","article-title":"Outlier detection with uncertain data","author":"aggarwal","year":"0","journal-title":"Proc SIAM Int Conf Data Mining"},{"key":"ref8","first-page":"237","author":"aggarwal","year":"2015","journal-title":"Data Mining"},{"key":"ref7","first-page":"859","article-title":"Integrating community matching and outlier\n detection for mining evolutionary community outliers","author":"gupta","year":"0","journal-title":"Proc ACM SIGKDD Int Conf Knowledge Discovery and Data Mining"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2017.2681962"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.arcontrol.2004.12.002"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ISGT.2014.6816509"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2016.2578518"},{"key":"ref22","doi-asserted-by":"crossref","DOI":"10.1201\/b15842","author":"sprent","year":"2016","journal-title":"Applied Nonparametric Statistical Methods"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2675940"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1198\/jasa.2010.tm09181"},{"key":"ref23","first-page":"55","article-title":"Applied econometric time series","volume":"46","author":"enders","year":"2004","journal-title":"Technometrics"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511804441"},{"journal-title":"Regression Analysis by Example","year":"2015","author":"chatterjee","key":"ref25"}],"container-title":["IEEE Transactions on Industrial Electronics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/41\/8478009\/08370797.pdf?arnumber=8370797","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T20:52:13Z","timestamp":1657745533000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8370797\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,2]]},"references-count":33,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tie.2018.2840508","relation":{},"ISSN":["0278-0046","1557-9948"],"issn-type":[{"type":"print","value":"0278-0046"},{"type":"electronic","value":"1557-9948"}],"subject":[],"published":{"date-parts":[[2019,2]]}}}