{"id":"https://openalex.org/W4399835731","doi":"https://doi.org/10.1109/tim.2024.3413200","title":"A Nonintrusive Load Identification Method Based on Dual-Branch Attention GRU Fusion Network","display_name":"A Nonintrusive Load Identification Method Based on Dual-Branch Attention GRU Fusion Network","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4399835731","doi":"https://doi.org/10.1109/tim.2024.3413200"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2024.3413200","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3413200","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102001461","display_name":"Jie Yuan","orcid":"https://orcid.org/0000-0002-3604-6874"},"institutions":[{"id":"https://openalex.org/I1315279114","display_name":"Zhejiang Wanli University","ror":"https://ror.org/00rjdhd62","country_code":"CN","type":"education","lineage":["https://openalex.org/I1315279114"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jie Yuan","raw_affiliation_strings":["College of Big Data and Software Engineering, Zhejiang Wanli University, Ningbo, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"College of Big Data and Software Engineering, Zhejiang Wanli University, Ningbo, Zhejiang, China","institution_ids":["https://openalex.org/I1315279114"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044527743","display_name":"Ran Jin","orcid":"https://orcid.org/0000-0002-1405-1189"},"institutions":[{"id":"https://openalex.org/I1315279114","display_name":"Zhejiang Wanli University","ror":"https://ror.org/00rjdhd62","country_code":"CN","type":"education","lineage":["https://openalex.org/I1315279114"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ran Jin","raw_affiliation_strings":["College of Big Data and Software Engineering, Zhejiang Wanli University, Ningbo, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"College of Big Data and Software Engineering, Zhejiang Wanli University, Ningbo, Zhejiang, China","institution_ids":["https://openalex.org/I1315279114"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100424673","display_name":"Lidong Wang","orcid":"https://orcid.org/0000-0003-4699-7937"},"institutions":[{"id":"https://openalex.org/I163151501","display_name":"Hangzhou Normal University","ror":"https://ror.org/014v1mr15","country_code":"CN","type":"education","lineage":["https://openalex.org/I163151501"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lidong Wang","raw_affiliation_strings":["School of Engineering, Hangzhou Normal University, Hangzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"School of Engineering, Hangzhou Normal University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I163151501"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047368298","display_name":"T. J. Wang","orcid":"https://orcid.org/0009-0008-5373-8603"},"institutions":[{"id":"https://openalex.org/I1315279114","display_name":"Zhejiang Wanli University","ror":"https://ror.org/00rjdhd62","country_code":"CN","type":"education","lineage":["https://openalex.org/I1315279114"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Wang","raw_affiliation_strings":["College of Big Data and Software Engineering, Zhejiang Wanli University, Ningbo, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"College of Big Data and Software Engineering, Zhejiang Wanli University, Ningbo, Zhejiang, China","institution_ids":["https://openalex.org/I1315279114"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102001461"],"corresponding_institution_ids":["https://openalex.org/I1315279114"],"apc_list":null,"apc_paid":null,"fwci":6.2902,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.97110898,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"73","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14011","display_name":"Elevator Systems and Control","score":0.9505000114440918,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14011","display_name":"Elevator Systems and Control","score":0.9505000114440918,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9345999956130981,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.6963300704956055},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5793645977973938},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5453732013702393},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.46088075637817383},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3204226493835449}],"concepts":[{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.6963300704956055},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5793645977973938},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5453732013702393},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.46088075637817383},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3204226493835449},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2024.3413200","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3413200","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1996944908","https://openalex.org/W2064675550","https://openalex.org/W2123910460","https://openalex.org/W2151729265","https://openalex.org/W2418133265","https://openalex.org/W2559280146","https://openalex.org/W2612218357","https://openalex.org/W2755492127","https://openalex.org/W2792764867","https://openalex.org/W2944008045","https://openalex.org/W2949682416","https://openalex.org/W2950635152","https://openalex.org/W3007098654","https://openalex.org/W3095472304","https://openalex.org/W3102690075","https://openalex.org/W3102977103","https://openalex.org/W3107324520","https://openalex.org/W3168308253","https://openalex.org/W3183995431","https://openalex.org/W3203788068","https://openalex.org/W3206006426","https://openalex.org/W4205535412","https://openalex.org/W4213176766","https://openalex.org/W4226154542","https://openalex.org/W4256515429","https://openalex.org/W4285114834","https://openalex.org/W4285201546","https://openalex.org/W4285821179","https://openalex.org/W4297094646","https://openalex.org/W4312258802","https://openalex.org/W4315783884","https://openalex.org/W4319993400","https://openalex.org/W4319996212","https://openalex.org/W4320015930","https://openalex.org/W4321021448","https://openalex.org/W4385245566","https://openalex.org/W6749825310"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W2515288625"],"abstract_inverted_index":{"Nonintrusive":[0],"load":[1,55,68,142],"identification":[2,56,69,129,144],"can":[3],"infer":[4],"the":[5,18,23,43,52,84,97,137],"operating":[6],"status":[7],"of":[8,46,54,99,114],"various":[9],"electrical":[10,19,32],"appliances":[11,47],"in":[12,42,102],"a":[13,67,73,124],"user\u2019s":[14],"household":[15,25],"based":[16,71],"on":[17,72,132],"parameters":[20],"collected":[21],"by":[22],"overall":[24],"electricity":[26],"meter.":[27],"It":[28,95],"helps":[29],"users":[30],"utilize":[31],"energy":[33,50],"more":[34],"scientifically":[35],"and":[36,48,83,92,107,116],"rationally.":[37],"Due":[38],"to":[39,121,147],"significant":[40],"differences":[41],"working":[44],"principles":[45],"their":[49],"consumption,":[51],"effectiveness":[53],"has":[57],"not":[58],"yet":[59],"met":[60],"practical":[61],"application":[62],"requirements.":[63],"This":[64],"article":[65],"proposes":[66],"method":[70,139],"dual-branch":[74],"attention":[75,93],"gated":[76],"recurrent":[77],"unit":[78],"(GRU)":[79],"fusion":[80],"network":[81,85,90],"structure,":[82],"integrates":[86],"GRU,":[87],"temporal":[88,105,118],"convolution":[89],"(TCN),":[91],"mechanisms.":[94],"overcomes":[96],"limitation":[98],"GRU":[100],"networks":[101],"extracting":[103],"ultra-long-term":[104],"dependencies":[106,119],"compensates":[108],"for":[109],"TCN\u2019s":[110],"less":[111],"effective":[112],"exploration":[113],"medium":[115],"short-term":[117],"compared":[120,146],"GRU.":[122],"As":[123],"result,":[125],"it":[126],"achieves":[127,140],"better":[128,141],"performance.":[130],"Experiments":[131],"public":[133],"datasets":[134],"indicate":[135],"that":[136],"proposed":[138],"state":[143],"performance":[145],"other":[148],"methods.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":2}],"updated_date":"2026-02-25T08:12:03.925757","created_date":"2025-10-10T00:00:00"}