{"id":"https://openalex.org/W4394938974","doi":"https://doi.org/10.1109/tsg.2024.3390441","title":"Load Recognition With Few-Shot Transfer Learning Based on Meta-Learning and Relational Network in Non-Intrusive Load Monitoring","display_name":"Load Recognition With Few-Shot Transfer Learning Based on Meta-Learning and Relational Network in Non-Intrusive Load Monitoring","publication_year":2024,"publication_date":"2024-04-18","ids":{"openalex":"https://openalex.org/W4394938974","doi":"https://doi.org/10.1109/tsg.2024.3390441"},"language":"en","primary_location":{"id":"doi:10.1109/tsg.2024.3390441","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsg.2024.3390441","pdf_url":null,"source":{"id":"https://openalex.org/S59604973","display_name":"IEEE Transactions on Smart Grid","issn_l":"1949-3053","issn":["1949-3053","1949-3061"],"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 Smart Grid","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/A5074634640","display_name":"Dong Ding","orcid":"https://orcid.org/0000-0001-5176-2046"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dong Ding","raw_affiliation_strings":["School of Electrical Engineering, Xi’an University of Technology, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0001-5176-2046","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Xi’an University of Technology, Xi’an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046113804","display_name":"Junhuai Li","orcid":"https://orcid.org/0000-0001-5483-5175"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junhuai Li","raw_affiliation_strings":["School of Computer Science and Engineering, Shaanxi Key Laboratory for Network Computing and Security Technology, Human-Machine Integration Intelligent Robot Shaanxi University Engineering Research Center, Xi’an University of Technology, Xi’an, China","School of Computer Science and Engineering, Shaanxi Key Laboratory for Network Computing and Security Technology, China","School of Electrical Engineering, Xi'an University of Technology, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-5483-5175","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Shaanxi Key Laboratory for Network Computing and Security Technology, Human-Machine Integration Intelligent Robot Shaanxi University Engineering Research Center, Xi’an University of Technology, Xi’an, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Engineering, Shaanxi Key Laboratory for Network Computing and Security Technology, China","institution_ids":[]},{"raw_affiliation_string":"School of Electrical Engineering, Xi'an University of Technology, Xi'an, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069263111","display_name":"Huaijun Wang","orcid":"https://orcid.org/0000-0002-2933-6566"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huaijun Wang","raw_affiliation_strings":["School of Computer Science and Engineering, Shaanxi Key Laboratory for Network Computing and Security Technology, Human-Machine Integration Intelligent Robot Shaanxi University Engineering Research Center, Xi’an University of Technology, Xi’an, China","School of Computer Science and Engineering, Shaanxi Key Laboratory for Network Computing and Security Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-2933-6566","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Shaanxi Key Laboratory for Network Computing and Security Technology, Human-Machine Integration Intelligent Robot Shaanxi University Engineering Research Center, Xi’an University of Technology, Xi’an, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Engineering, Shaanxi Key Laboratory for Network Computing and Security Technology, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100403727","display_name":"Kan Wang","orcid":"https://orcid.org/0000-0003-3500-1073"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kan Wang","raw_affiliation_strings":["School of Computer Science and Engineering, Shaanxi Key Laboratory for Network Computing and Security Technology, Human-Machine Integration Intelligent Robot Shaanxi University Engineering Research Center, Xi’an University of Technology, Xi’an, China","School of Computer Science and Engineering, Shaanxi Key Laboratory for Network Computing and Security Technology, China"],"raw_orcid":"https://orcid.org/0000-0003-3500-1073","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Shaanxi Key Laboratory for Network Computing and Security Technology, Human-Machine Integration Intelligent Robot Shaanxi University Engineering Research Center, Xi’an University of Technology, Xi’an, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Engineering, Shaanxi Key Laboratory for Network Computing and Security Technology, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.689,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.93547972,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"15","issue":"5","first_page":"4861","last_page":"4876"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/computer-science","display_name":"Computer science","score":0.5938418507575989},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5817821025848389},{"id":"https://openalex.org/keywords/statistical-relational-learning","display_name":"Statistical relational learning","score":0.441053181886673},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42695194482803345},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3452678322792053},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33591651916503906},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.25694119930267334},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.21950361132621765}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5938418507575989},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5817821025848389},{"id":"https://openalex.org/C177877439","wikidata":"https://www.wikidata.org/wiki/Q7604413","display_name":"Statistical relational learning","level":3,"score":0.441053181886673},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42695194482803345},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3452678322792053},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33591651916503906},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25694119930267334},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.21950361132621765}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsg.2024.3390441","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsg.2024.3390441","pdf_url":null,"source":{"id":"https://openalex.org/S59604973","display_name":"IEEE Transactions on Smart Grid","issn_l":"1949-3053","issn":["1949-3053","1949-3061"],"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 Smart Grid","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.46000000834465027,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G29569701","display_name":null,"funder_award_id":"61801379","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3583284858","display_name":null,"funder_award_id":"2018YFB1703000","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1479651931","https://openalex.org/W1980674035","https://openalex.org/W2115733720","https://openalex.org/W2128532956","https://openalex.org/W2515519620","https://openalex.org/W2566212894","https://openalex.org/W2755492127","https://openalex.org/W2764060181","https://openalex.org/W2884243640","https://openalex.org/W2902358839","https://openalex.org/W2904841534","https://openalex.org/W2908535058","https://openalex.org/W2949676527","https://openalex.org/W2963808366","https://openalex.org/W2964355683","https://openalex.org/W2971067036","https://openalex.org/W2979747407","https://openalex.org/W2984698916","https://openalex.org/W3006472355","https://openalex.org/W3008901316","https://openalex.org/W3033424148","https://openalex.org/W3034942609","https://openalex.org/W3044070975","https://openalex.org/W3044994156","https://openalex.org/W3080996465","https://openalex.org/W3092053846","https://openalex.org/W3099873379","https://openalex.org/W3154934604","https://openalex.org/W3171336461","https://openalex.org/W3171632293","https://openalex.org/W3181227279","https://openalex.org/W3199873924","https://openalex.org/W4205517074","https://openalex.org/W4226058503","https://openalex.org/W4283793659","https://openalex.org/W4312430871","https://openalex.org/W4366678330","https://openalex.org/W6676993013","https://openalex.org/W6717697761","https://openalex.org/W6718171111","https://openalex.org/W6720057410","https://openalex.org/W6736057607","https://openalex.org/W6748331328","https://openalex.org/W6751959828","https://openalex.org/W6763752302"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W2033914206"],"abstract_inverted_index":{"Non-intrusive":[0],"load":[1,52,79,95,119,125,162],"monitoring":[2],"(NILM)":[3],"monitors":[4],"the":[5,34,50,63,71,94,102,143,147,159,168,175,185],"operating":[6],"status":[7],"and":[8,45,87,131,136,172,190],"power":[9],"consumption":[10],"of":[11,36,149],"residential":[12],"appliances":[13],"with":[14],"only":[15],"one":[16],"main":[17],"meter,":[18],"providing":[19],"a":[20,77,123,137],"new":[21],"measure":[22],"for":[23,117],"energy":[24],"management.":[25],"Deep":[26],"learning":[27,56],"(DL)":[28],"shows":[29],"outperformance":[30],"in":[31,70,180],"NILM.":[32],"However,":[33,62],"lack":[35],"appliance":[37,43,152],"data":[38,47,69],"caused":[39],"by":[40,109,165],"rapid":[41],"growth":[42],"types":[44],"high-cost":[46],"sampling":[48,111],"reduces":[49],"DL-based":[51,59],"recognition":[53,96,120,126,163],"accuracy.":[54],"Transfer":[55],"(TL)":[57],"enables":[58],"model":[60,127],"generalization.":[61],"generalization":[64,97,164,189],"would":[65],"be":[66],"limited":[67],"when":[68],"target":[72,176],"domain":[73],"are":[74],"insufficient.":[75],"Therefore,":[76],"non-intrusive":[78],"recognizing":[80],"(NILR)":[81],"few-shot":[82,118,155,160],"TL":[83,195],"based":[84,128,139],"on":[85,129],"meta-learning":[86,130,138],"relational":[88,132,140],"network":[89,133,141],"is":[90,134],"proposed":[91,186],"to":[92,112,145,174],"improve":[93],"performance,":[98],"named":[99],"MRNILR-TL.":[100],"First,":[101],"method":[103,187],"constructs":[104],"an":[105],"episode":[106],"task":[107,110,170],"dataset":[108],"provide":[113],"diverse":[114],"learnable":[115],"tasks":[116],"training.":[121],"Afterward,":[122],"multi-classification":[124,161],"constructed,":[135],"enhances":[142],"ability":[144],"learn":[146],"laws":[148],"similarity":[150],"among":[151],"features":[153],"from":[154],"data.":[156],"Finally,":[157],"achieving":[158],"directly":[166],"transferring":[167],"source":[169],"knowledge":[171],"strategies":[173],"task.":[177],"Experimental":[178],"results":[179],"four":[181],"transfer":[182],"scenes":[183],"demonstrate":[184],"achieves":[188],"outperforms":[191],"most":[192],"existing":[193],"NILM":[194],"methods.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":11}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}