{"id":"https://openalex.org/W3203788068","doi":"https://doi.org/10.1109/tsg.2021.3115910","title":"Deep Domain Adaptation for Non-Intrusive Load Monitoring Based on a Knowledge Transfer Learning Network","display_name":"Deep Domain Adaptation for Non-Intrusive Load Monitoring Based on a Knowledge Transfer Learning Network","publication_year":2021,"publication_date":"2021-09-27","ids":{"openalex":"https://openalex.org/W3203788068","doi":"https://doi.org/10.1109/tsg.2021.3115910","mag":"3203788068"},"language":"en","primary_location":{"id":"doi:10.1109/tsg.2021.3115910","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsg.2021.3115910","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/A5101534216","display_name":"Jun Lin","orcid":"https://orcid.org/0000-0003-2291-309X"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jun Lin","raw_affiliation_strings":["School of Electrical and Information Engineering, The University of Sydney, Sydney, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0003-2291-309X","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, The University of Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000818065","display_name":"Jin Ma","orcid":"https://orcid.org/0000-0002-9912-2520"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jin Ma","raw_affiliation_strings":["School of Electrical and Information Engineering, The University of Sydney, Sydney, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0002-9912-2520","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, The University of Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100370161","display_name":"Jianguo Zhu","orcid":"https://orcid.org/0000-0002-9763-4047"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jianguo Zhu","raw_affiliation_strings":["School of Electrical and Information Engineering, The University of Sydney, Sydney, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0002-9763-4047","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, The University of Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091616797","display_name":"Huishi Liang","orcid":"https://orcid.org/0000-0003-3410-4898"},"institutions":[{"id":"https://openalex.org/I4210095546","display_name":"Tsinghua Sichuan Energy Internet Research Institute","ror":"https://ror.org/00pkx4k51","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210095546"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huishi Liang","raw_affiliation_strings":["Tsinghua Sichuan Energy Internet Research Institute, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-3410-4898","affiliations":[{"raw_affiliation_string":"Tsinghua Sichuan Energy Internet Research Institute, Chengdu, China","institution_ids":["https://openalex.org/I4210095546"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2045,"currency":"USD","value_usd":2045},"apc_paid":null,"fwci":6.0673,"has_fulltext":false,"cited_by_count":88,"citation_normalized_percentile":{"value":0.97223597,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"13","issue":"1","first_page":"280","last_page":"292"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14011","display_name":"Elevator Systems and Control","score":0.9922999739646912,"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":0.9922999739646912,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9918000102043152,"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/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9757999777793884,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.6570638418197632},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6498388051986694},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5758992433547974},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5579017400741577},{"id":"https://openalex.org/keywords/knowledge-transfer","display_name":"Knowledge transfer","score":0.5250756144523621},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4009284973144531},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.22868916392326355},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11712229251861572}],"concepts":[{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.6570638418197632},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6498388051986694},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5758992433547974},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5579017400741577},{"id":"https://openalex.org/C2776960227","wikidata":"https://www.wikidata.org/wiki/Q2586354","display_name":"Knowledge transfer","level":2,"score":0.5250756144523621},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4009284973144531},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.22868916392326355},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11712229251861572},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsg.2021.3115910","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsg.2021.3115910","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":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.9100000262260437}],"awards":[{"id":"https://openalex.org/G2676840594","display_name":null,"funder_award_id":"G-01791-2020","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G8548265125","display_name":"A Unified Framework for Resource Management in Edge-Cloud Data Centres","funder_award_id":"DP200103494","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1479651931","https://openalex.org/W1565327149","https://openalex.org/W1996944908","https://openalex.org/W2028348615","https://openalex.org/W2031342017","https://openalex.org/W2123910460","https://openalex.org/W2159291411","https://openalex.org/W2165698076","https://openalex.org/W2194775991","https://openalex.org/W2292311507","https://openalex.org/W2302255633","https://openalex.org/W2337060009","https://openalex.org/W2343090960","https://openalex.org/W2344109681","https://openalex.org/W2515519620","https://openalex.org/W2519091744","https://openalex.org/W2559280146","https://openalex.org/W2566212894","https://openalex.org/W2591811586","https://openalex.org/W2765691664","https://openalex.org/W2788277287","https://openalex.org/W2792764867","https://openalex.org/W2904841534","https://openalex.org/W2908535058","https://openalex.org/W2945815269","https://openalex.org/W2963168418","https://openalex.org/W2963275094","https://openalex.org/W2963840672","https://openalex.org/W2963999359","https://openalex.org/W2967003991","https://openalex.org/W2971067036","https://openalex.org/W2990083057","https://openalex.org/W2999553301","https://openalex.org/W3081798076","https://openalex.org/W3090610511","https://openalex.org/W3099873379","https://openalex.org/W3102977103","https://openalex.org/W4299518610","https://openalex.org/W6633949838","https://openalex.org/W6682132143","https://openalex.org/W6683633756","https://openalex.org/W6696085341","https://openalex.org/W6734162547","https://openalex.org/W6749825310","https://openalex.org/W6782325737"],"related_works":["https://openalex.org/W2997567050","https://openalex.org/W3201126466","https://openalex.org/W1483272040","https://openalex.org/W4283377908","https://openalex.org/W1526712007","https://openalex.org/W1533421371","https://openalex.org/W2003050223","https://openalex.org/W4394775207","https://openalex.org/W3095487414","https://openalex.org/W2901026139"],"abstract_inverted_index":{"Understanding":[0],"customers\u2019":[1],"energy":[2,30,115],"consumption":[3,31],"at":[4],"the":[5,12,84,99,123,137,140,143],"individual":[6,88,124],"appliances":[7],"level":[8],"is":[9,74,80,95],"crucial":[10],"for":[11,72,122],"planning":[13],"and":[14,105,114,139,146,151],"implementation":[15],"of":[16,43,87,142,157],"demand":[17],"response":[18],"(DR)":[19],"programs.":[20],"The":[21,39],"appliances\u2019":[22],"usage":[23],"profiles":[24],"can":[25,127],"be":[26,128],"disaggregated":[27],"from":[28],"whole-house":[29],"data":[32,135,158],"using":[33,67],"non-intrusive":[34],"load":[35,41],"monitoring":[36],"(NILM)":[37],"methods.":[38],"appliance":[40,89,125],"patterns":[42],"each":[44],"customer":[45],"are":[46],"considerably":[47],"different,":[48],"which":[49],"make":[50],"it":[51],"challenging":[52],"to":[53,82,97],"train":[54],"a":[55,64],"model":[56],"with":[57],"strong":[58],"generalization":[59],"ability.":[60],"In":[61],"this":[62],"paper,":[63],"novel":[65],"methodology":[66],"transfer":[68],"knowledge":[69],"between":[70,103],"domains":[71,121],"NILM":[73],"proposed.":[75],"A":[76,91],"temporal":[77],"convolutional":[78],"network":[79],"developed":[81],"learn":[83],"dynamic":[85],"features":[86],"load.":[90],"domain":[92,100,107,112],"adaption":[93],"loss":[94],"used":[96],"quantify":[98],"distribution":[101],"discrepancy":[102],"source":[104],"target":[106],"representation.":[108],"By":[109],"jointly":[110],"optimizing":[111],"adaptation":[113],"disaggregation,":[116],"an":[117],"invariant":[118],"representation":[119],"across":[120],"states":[126],"learned.":[129],"Data":[130],"experiments":[131],"on":[132],"ground":[133],"truth":[134],"validate":[136],"accuracy":[138],"robustness":[141],"proposed":[144],"model,":[145],"demonstrate":[147],"its":[148],"superior":[149],"transferability":[150],"application":[152],"potential":[153],"under":[154],"those":[155],"scenarios":[156],"shortage.":[159]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":23},{"year":2024,"cited_by_count":23},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":12}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
