{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T19:14:25Z","timestamp":1725563665211},"reference-count":24,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,9]]},"DOI":"10.1109\/isc2.2016.7580738","type":"proceedings-article","created":{"date-parts":[[2016,10,3]],"date-time":"2016-10-03T21:28:20Z","timestamp":1475530100000},"page":"1-6","source":"Crossref","is-referenced-by-count":0,"title":["Fixture identification from aggregated hot water consumption data"],"prefix":"10.1109","author":[{"given":"Yan","family":"Gao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daqing","family":"Hou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sean","family":"Banerjee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"doi-asserted-by":"publisher","key":"ref10","DOI":"10.1145\/2528282.2528287"},{"doi-asserted-by":"publisher","key":"ref11","DOI":"10.1145\/2370216.2370230"},{"doi-asserted-by":"publisher","key":"ref12","DOI":"10.1145\/1864349.1864378"},{"doi-asserted-by":"publisher","key":"ref13","DOI":"10.1145\/1460412.1460443"},{"doi-asserted-by":"publisher","key":"ref14","DOI":"10.1145\/1753326.1753604"},{"doi-asserted-by":"publisher","key":"ref15","DOI":"10.1007\/978-3-642-37453-1_9"},{"doi-asserted-by":"publisher","key":"ref16","DOI":"10.1109\/TAAI.2012.54"},{"doi-asserted-by":"publisher","key":"ref17","DOI":"10.1007\/978-3-319-06605-9_19"},{"doi-asserted-by":"publisher","key":"ref18","DOI":"10.1145\/2674061.2674066"},{"doi-asserted-by":"publisher","key":"ref19","DOI":"10.1145\/2461381.2461398"},{"year":"0","journal-title":"EIA statistics","key":"ref4"},{"doi-asserted-by":"publisher","key":"ref3","DOI":"10.1007\/978-3-540-24646-6_10"},{"doi-asserted-by":"publisher","key":"ref6","DOI":"10.1145\/1166253.1166269"},{"doi-asserted-by":"publisher","key":"ref5","DOI":"10.1016\/j.rser.2011.02.039"},{"doi-asserted-by":"publisher","key":"ref8","DOI":"10.1007\/978-3-642-21726-5_4"},{"doi-asserted-by":"publisher","key":"ref7","DOI":"10.1145\/1620545.1620581"},{"doi-asserted-by":"publisher","key":"ref2","DOI":"10.1109\/PerCom.2012.6199866"},{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.1145\/1520340.1520413"},{"doi-asserted-by":"publisher","key":"ref9","DOI":"10.1016\/j.pmcj.2010.08.008"},{"key":"ref20","first-page":"2804","article-title":"Deep sparse coding based recursive disaggregation model for water conservation","author":"dong","year":"2013","journal-title":"Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence"},{"doi-asserted-by":"publisher","key":"ref22","DOI":"10.1016\/j.asoc.2015.03.007"},{"doi-asserted-by":"publisher","key":"ref21","DOI":"10.1016\/j.envsoft.2013.05.002"},{"doi-asserted-by":"publisher","key":"ref24","DOI":"10.1145\/2020408.2020450"},{"doi-asserted-by":"publisher","key":"ref23","DOI":"10.1145\/2207676.2208397"}],"event":{"name":"2016 IEEE International Smart Cities Conference (ISC2)","start":{"date-parts":[[2016,9,12]]},"location":"Trento, Italy","end":{"date-parts":[[2016,9,15]]}},"container-title":["2016 IEEE International Smart Cities Conference (ISC2)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7573871\/7580726\/07580738.pdf?arnumber=7580738","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2016,10,12]],"date-time":"2016-10-12T02:40:29Z","timestamp":1476240029000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7580738\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,9]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/isc2.2016.7580738","relation":{},"subject":[],"published":{"date-parts":[[2016,9]]}}}