{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T03:23:44Z","timestamp":1773977024315,"version":"3.50.1"},"reference-count":37,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Tianjin Graduate Research and Innovation Project","award":["2019YJSB188"],"award-info":[{"award-number":["2019YJSB188"]}]},{"name":"National Innovation Program for College Students of China and Science and Technology Project of State Grid Corporation of China"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.3003778","type":"journal-article","created":{"date-parts":[[2020,6,19]],"date-time":"2020-06-19T20:21:56Z","timestamp":1592598116000},"page":"113932-113942","source":"Crossref","is-referenced-by-count":42,"title":["A Load Identification Method Based on Active Deep Learning and Discrete Wavelet Transform"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9515-0340","authenticated-orcid":false,"given":"Luyang","family":"Guo","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3892-3703","authenticated-orcid":false,"given":"Shouxiang","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Haiwen","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Qingyuan","family":"Shi","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-44816-0_31"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4471-2099-5_1"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.epsr.2019.105987"},{"key":"ref30","article-title":"Active learning literature survey","author":"settles","year":"2010"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/2674061.2675032"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1613\/jair.953"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/78.157221"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2011.08.006"},{"key":"ref10","first-page":"1","article-title":"An active learning framework for non-intrusive load monitoring","author":"jin","year":"2016","journal-title":"in Proc Int Workshop Non Intrusive Load Monitor"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/SEGE.2018.8499498"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.2298\/FUEE1702199D"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/COMPSACW.2014.97"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2019.05.028"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2019.116012"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2017.09.087"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2014.2388193"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICAEES.2016.7888051"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICEBE.2011.49"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2955470"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/5.192069"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/2093698.2093871"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/SAS.2015.7133611"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/GlobalSIP.2015.7418189"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2016.2532885"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2018.04.049"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.epsr.2017.12.012"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3077839.3077845"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2018.2888581"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.23919\/EUSIPCO.2017.8081216"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.scs.2018.08.008"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/SmartGridComm.2017.8340664"},{"key":"ref22","first-page":"1","article-title":"Redd: A public data set for energy disaggregation research","volume":"25","author":"kolter","year":"2011","journal-title":"Artif Intell"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/2674061.2675024"},{"key":"ref24","article-title":"The UK-DALE dataset, domestic appliance-level electricity demand and whole-house demand from five UK homes","volume":"2","author":"kelly","year":"2015","journal-title":"Data Science Journal"},{"key":"ref23","first-page":"1","article-title":"BLUED: A fully labeled public dataset for event-based non-intrusive load monitoring research","author":"anderson","year":"2012","journal-title":"Proc KDD Workshop Data Mining Appl Sustain (SustKDD)"},{"key":"ref26","article-title":"COOLL: Controlled on\/off loads library, a public dataset of high-sampled electrical signals for appliance identification","author":"picon","year":"2016","journal-title":"arXiv 1611 05803"},{"key":"ref25","first-page":"1","article-title":"WHITED&#x2014;A worldwide household and industry transient energy data set","author":"kahl","year":"2016","journal-title":"in Proc Int Workshop Non Intrusive Load Monitor"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09121244.pdf?arnumber=9121244","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T01:08:34Z","timestamp":1641949714000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9121244\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":37,"URL":"https:\/\/doi.org\/10.1109\/access.2020.3003778","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}