{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T18:22:38Z","timestamp":1775067758791,"version":"3.50.1"},"reference-count":44,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"State Grid Shaanxi Electric Power Company Ltd., China"},{"name":"\u201cResearch on Key Technologies of Data-Driven Autonomous Sensing of Power Supply Reliability in Distribution Networks,\u201d","award":["SGSN0000TKJS2100772"],"award-info":[{"award-number":["SGSN0000TKJS2100772"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Instrum. Meas."],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/tim.2023.3271009","type":"journal-article","created":{"date-parts":[[2023,4,27]],"date-time":"2023-04-27T17:51:21Z","timestamp":1682617881000},"page":"1-12","source":"Crossref","is-referenced-by-count":25,"title":["Multiscale Self-Attention Architecture in Temporal Neural Network for Nonintrusive Load Monitoring"],"prefix":"10.1109","volume":"72","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7085-0209","authenticated-orcid":false,"given":"Zihan","family":"Shan","sequence":"first","affiliation":[{"name":"Research Center of Information Fusion and Intelligent Control and the School of Electrical Engineering, Xi’an Jiaotong University, Xi’an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5153-836X","authenticated-orcid":false,"given":"Gangquan","family":"Si","sequence":"additional","affiliation":[{"name":"Research Center of Information Fusion and Intelligent Control and the School of Electrical Engineering, Xi’an Jiaotong University, Xi’an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9331-5241","authenticated-orcid":false,"given":"Kai","family":"Qu","sequence":"additional","affiliation":[{"name":"Research Center of Information Fusion and Intelligent Control and the School of Electrical Engineering, Xi’an Jiaotong University, Xi’an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0524-260X","authenticated-orcid":false,"given":"Qianyue","family":"Wang","sequence":"additional","affiliation":[{"name":"Research Center of Information Fusion and Intelligent Control and the School of Electrical Engineering, Xi’an Jiaotong University, Xi’an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4387-6494","authenticated-orcid":false,"given":"Xiangguang","family":"Kong","sequence":"additional","affiliation":[{"name":"Research Center of Information Fusion and Intelligent Control and the School of Electrical Engineering, Xi’an Jiaotong University, Xi’an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3474-9987","authenticated-orcid":false,"given":"Yu","family":"Tang","sequence":"additional","affiliation":[{"name":"Research Center of Information Fusion and Intelligent Control and the School of Electrical Engineering, Xi’an Jiaotong University, Xi’an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1670-434X","authenticated-orcid":false,"given":"Chen","family":"Yang","sequence":"additional","affiliation":[{"name":"Research Center of Information Fusion and Intelligent Control and the School of Electrical Engineering, Xi’an Jiaotong University, Xi’an, China"}]}],"member":"263","reference":[{"key":"ref13","first-page":"356","article-title":"Non-intrusive load monitoring using prior models of general appliance types","author":"parson","year":"2012","journal-title":"Proc 26th AAAI Conf Artif Intell"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01200"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2016.2626389"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1186\/s42162-018-0038-y"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2014.2344373"},{"key":"ref37","first-page":"1","article-title":"Attention is all you need","volume":"30","author":"vaswani","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2498931"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i12.17243"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3106678"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3169536"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2016.2598872"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8682543"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/EEEIC.2015.7165334"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33011150"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s12053-008-9009-7"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2019.2904351"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2017.08.203"},{"key":"ref39","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","author":"devlin","year":"2018","journal-title":"arXiv 1810 04805"},{"key":"ref16","first-page":"1472","article-title":"Approximate inference in additive factorial HMMs with application to energy disaggregation","author":"kolter","year":"2012","journal-title":"Proc 15th Int Conf Artif Intell Statist"},{"key":"ref38","article-title":"An image is worth 16×16 words: Transformers for image recognition at scale","author":"dosovitskiy","year":"2020","journal-title":"arXiv 2010 11929"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-1166"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2020.2974347"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2019.2953225"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2021.3066570"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/2821650.2821672"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2896880"},{"key":"ref42","article-title":"LongFormer: The long-document transformer","author":"beltagy","year":"2020","journal-title":"arXiv 2004 05150"},{"key":"ref41","first-page":"1","article-title":"Enhancing the locality and breaking the memory bottleneck of transformer on time series forecasting","volume":"32","author":"li","year":"2019","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2020.3035193"},{"key":"ref44","first-page":"1","article-title":"The UK-DALE dataset, domestic appliance-level electricity demand and whole-house demand from five U.K. homes","volume":"2","author":"kelly","year":"2015","journal-title":"Data Science Journal"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11873"},{"key":"ref43","first-page":"59","article-title":"REDD: A public data set for energy disaggregation research","volume":"25","author":"kolter","year":"2011","journal-title":"Proc Workshop Data Mining Appl Sustainability (SIGKDD)"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3427771.3429390"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2021.3115910"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2018.2886849"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3095093"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2013.2271282"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/POWERCON.2018.8601534"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2020.3034989"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2019.2938068"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3117068"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/5.192069"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i12.17325"}],"container-title":["IEEE Transactions on Instrumentation and Measurement"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/19\/10012124\/10109746.pdf?arnumber=10109746","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,19]],"date-time":"2023-06-19T18:00:29Z","timestamp":1687197629000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10109746\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":44,"URL":"https:\/\/doi.org\/10.1109\/tim.2023.3271009","relation":{},"ISSN":["0018-9456","1557-9662"],"issn-type":[{"value":"0018-9456","type":"print"},{"value":"1557-9662","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}