{"id":"https://openalex.org/W4408565097","doi":"https://doi.org/10.1109/tce.2025.3552499","title":"Fusing V-I Trajectory and Statistical Features for Improved Non-Intrusive Appliance Identification","display_name":"Fusing V-I Trajectory and Statistical Features for Improved Non-Intrusive Appliance Identification","publication_year":2025,"publication_date":"2025-03-18","ids":{"openalex":"https://openalex.org/W4408565097","doi":"https://doi.org/10.1109/tce.2025.3552499"},"language":"en","primary_location":{"id":"doi:10.1109/tce.2025.3552499","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2025.3552499","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Consumer Electronics","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/A5066641973","display_name":"Wenpeng Luan","orcid":"https://orcid.org/0000-0002-6882-0465"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenpeng Luan","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023397770","display_name":"Keke Li","orcid":"https://orcid.org/0000-0003-3810-4473"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Keke Li","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036929070","display_name":"Bo Liu","orcid":"https://orcid.org/0000-0002-8855-5160"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Liu","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032246220","display_name":"Hanju Cai","orcid":"https://orcid.org/0009-0000-7330-9090"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanju Cai","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070740938","display_name":"Bochao Zhao","orcid":"https://orcid.org/0000-0001-9546-3101"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bochao Zhao","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5066641973"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05122478,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"71","issue":"2","first_page":"2892","last_page":"2905"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14011","display_name":"Elevator Systems and Control","score":0.9860000014305115,"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":0.9860000014305115,"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/T12222","display_name":"IoT-based Smart Home Systems","score":0.9595000147819519,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10603","display_name":"Smart Grid Energy Management","score":0.9555000066757202,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/trajectory","display_name":"Trajectory","score":0.68304443359375},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6072838306427002},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5597984194755554},{"id":"https://openalex.org/keywords/statistical-analysis","display_name":"Statistical analysis","score":0.4388474225997925},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3441990613937378},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21872806549072266},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1885133981704712},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1161363422870636}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.68304443359375},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6072838306427002},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5597984194755554},{"id":"https://openalex.org/C2986587452","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical analysis","level":2,"score":0.4388474225997925},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3441990613937378},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21872806549072266},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1885133981704712},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1161363422870636},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tce.2025.3552499","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2025.3552499","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Consumer Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4633657246","display_name":null,"funder_award_id":"52477116","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1479651931","https://openalex.org/W2006478669","https://openalex.org/W2023791612","https://openalex.org/W2100955315","https://openalex.org/W2106421611","https://openalex.org/W2123910460","https://openalex.org/W2165856210","https://openalex.org/W2198139313","https://openalex.org/W2292806482","https://openalex.org/W2344234701","https://openalex.org/W2549449854","https://openalex.org/W2605243143","https://openalex.org/W2759913691","https://openalex.org/W2764060181","https://openalex.org/W2778405665","https://openalex.org/W2778990969","https://openalex.org/W2789374566","https://openalex.org/W2800177413","https://openalex.org/W2804306644","https://openalex.org/W2904841534","https://openalex.org/W2942586591","https://openalex.org/W2949682416","https://openalex.org/W2964254874","https://openalex.org/W2984698916","https://openalex.org/W2997970006","https://openalex.org/W3010208964","https://openalex.org/W3040566078","https://openalex.org/W3044070975","https://openalex.org/W3140350963","https://openalex.org/W3199873924","https://openalex.org/W3208787894","https://openalex.org/W3210070020","https://openalex.org/W4200099981","https://openalex.org/W4205552909","https://openalex.org/W4206748303","https://openalex.org/W4210342596","https://openalex.org/W4214822540","https://openalex.org/W4285821179","https://openalex.org/W4315783884","https://openalex.org/W4319996212","https://openalex.org/W4360930666","https://openalex.org/W4387015855","https://openalex.org/W4390044808"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4323768008"],"abstract_inverted_index":{"Non-intrusive":[0],"load":[1,43],"monitoring":[2],"(NILM)":[3],"offers":[4],"a":[5,150,158],"practical":[6],"solution":[7],"for":[8,21,54,113],"intelligent":[9],"energy":[10,18],"management":[11],"in":[12,36,69,75,101,123],"consumer":[13],"electronics":[14],"by":[15],"estimating":[16],"fine-grained":[17],"consumption":[19],"information":[20],"individual":[22],"appliances":[23],"from":[24,146],"aggregated":[25],"power":[26],"signals":[27],"measured":[28],"at":[29,131],"limited":[30],"locations.":[31],"With":[32],"the":[33,76,85,114,117,135,160,178],"rapid":[34],"increase":[35],"appliance":[37,48,168,186],"brands":[38],"and":[39,45,65,108,120,139,149],"types,":[40],"constructing":[41],"unique":[42],"signatures":[44],"establishing":[46],"reliable":[47],"identification":[49,67,169,187],"methods":[50],"become":[51],"progressively":[52],"crucial":[53],"NILM.":[55],"Deep":[56],"neural":[57],"networks":[58],"have":[59],"proven":[60],"effective":[61],"feature":[62,129,180],"extraction":[63],"capabilities":[64],"excellent":[66],"performance":[68],"different":[70,111],"fields.":[71],"The":[72],"primary":[73],"approach":[74,162],"current":[77],"literature":[78],"to":[79,92],"extend":[80],"this":[81,90,104],"trend":[82],"involves":[83],"expanding":[84],"size":[86],"of":[87,116,152],"networks.":[88],"However,":[89],"leads":[91],"rapidly":[93],"increasing":[94],"computational":[95],"costs,":[96],"with":[97],"only":[98],"marginal":[99],"improvements":[100],"performance.":[102,170,188],"In":[103],"paper,":[105],"we":[106],"propose":[107],"compare":[109],"three":[110],"strategies":[112],"fusion":[115,130,181],"V-I":[118,147],"trajectory":[119],"statistical":[121,155],"features":[122,148],"an":[124],"end-to-end":[125],"trainable":[126],"manner,":[127],"evaluating":[128],"various":[132],"stages":[133],"within":[134],"model":[136],"(Feature-Level":[137],"Fusion":[138],"Decision-Level":[140],"Fusion),":[141],"which":[142],"automatically":[143],"learn":[144],"jointly":[145],"set":[151],"manually":[153],"defined":[154],"features.":[156],"As":[157],"result,":[159],"proposed":[161,179],"improves":[163],"cost":[164],"efficiency":[165],"while":[166],"enhancing":[167],"Experiments":[171],"on":[172],"diverse":[173],"benchmark":[174],"datasets":[175],"demonstrate":[176],"that":[177],"models":[182],"cost-effectively":[183],"achieve":[184],"cutting-edge":[185]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
