{"id":"https://openalex.org/W4410950076","doi":"https://doi.org/10.1109/tim.2025.3574906","title":"Knowledge and Data Dual-Driven Model for Plug-In Vehicle Load Identification","display_name":"Knowledge and Data Dual-Driven Model for Plug-In Vehicle Load Identification","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4410950076","doi":"https://doi.org/10.1109/tim.2025.3574906"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2025.3574906","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3574906","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/A5102945233","display_name":"Xianyong Xiao","orcid":"https://orcid.org/0000-0002-1118-9270"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianyong Xiao","raw_affiliation_strings":["School of Electrical Engineering, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-1118-9270","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032088244","display_name":"Zihang Ruan","orcid":"https://orcid.org/0000-0002-0619-7620"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihang Ruan","raw_affiliation_strings":["School of Electrical Engineering, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-0619-7620","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101500381","display_name":"Wenxi Hu","orcid":"https://orcid.org/0000-0003-1609-784X"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxi Hu","raw_affiliation_strings":["School of Electrical Engineering, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-1609-784X","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Qiyu Xiang","orcid":"https://orcid.org/0009-0005-9871-3483"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiyu Xiang","raw_affiliation_strings":["School of Electrical Engineering, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0009-0005-9871-3483","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":null,"display_name":"Hao Dong","orcid":"https://orcid.org/0009-0008-3174-8579"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Dong","raw_affiliation_strings":["School of Electrical Engineering, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0009-0008-3174-8579","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I24185976"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.100397,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"74","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14304","display_name":"Transport Systems and Technology","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T14304","display_name":"Transport Systems and Technology","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T10663","display_name":"Advanced Battery Technologies Research","score":0.9824000000953674,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T13344","display_name":"Industrial Automation and Control Systems","score":0.9587000012397766,"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/identification","display_name":"Identification (biology)","score":0.6404678821563721},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.620558500289917},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.5409383177757263},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5010278224945068},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.32791268825531006},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.28972113132476807},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.14492708444595337}],"concepts":[{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6404678821563721},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.620558500289917},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.5409383177757263},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5010278224945068},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.32791268825531006},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.28972113132476807},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.14492708444595337},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2025.3574906","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3574906","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":[{"id":"https://openalex.org/G4829538231","display_name":null,"funder_award_id":"52307128","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":33,"referenced_works":["https://openalex.org/W1768275605","https://openalex.org/W2057798433","https://openalex.org/W2095705004","https://openalex.org/W2263083964","https://openalex.org/W2315873052","https://openalex.org/W2465358378","https://openalex.org/W2475334473","https://openalex.org/W2750941888","https://openalex.org/W2884278717","https://openalex.org/W2919115771","https://openalex.org/W2964159205","https://openalex.org/W2969293360","https://openalex.org/W3048070442","https://openalex.org/W3084582826","https://openalex.org/W3132492678","https://openalex.org/W3200930717","https://openalex.org/W4210503355","https://openalex.org/W4225565568","https://openalex.org/W4293143428","https://openalex.org/W4293193122","https://openalex.org/W4312924260","https://openalex.org/W4360995487","https://openalex.org/W4378195073","https://openalex.org/W4382119223","https://openalex.org/W4385453349","https://openalex.org/W4386231460","https://openalex.org/W4386702717","https://openalex.org/W4389371391","https://openalex.org/W4389722813","https://openalex.org/W4390906180","https://openalex.org/W4399835731","https://openalex.org/W4407831697","https://openalex.org/W6674330103"],"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/W4396696052"],"abstract_inverted_index":{"Large-scale":[0],"integration":[1],"of":[2,13,27,56,79,100,103,131,136],"plug-in":[3],"electric":[4],"vehicles":[5],"(PEVs)":[6],"will":[7],"impact":[8,55],"the":[9,25,54,67,72,77,95,121,128,132,162,184],"planning":[10],"and":[11,46,86,97,123,177,190,201],"operation":[12],"power":[14],"systems.":[15],"Accurately":[16],"identifying":[17],"PEVs":[18],"serves":[19],"as":[20],"a":[21,106,113,141],"crucial":[22],"prerequisite":[23],"for":[24,33],"establishment":[26],"charging":[28,151],"station":[29],"infrastructure.":[30],"Existing":[31],"methods":[32],"PEV":[34,150,164],"identification":[35,64,166,170],"can":[36],"be":[37],"divided":[38],"into":[39],"two":[40,101],"categories,":[41],"i.e.,":[42],"knowledge-driven":[43],"(KD)":[44],"models":[45,104],"data-driven":[47],"(DD)":[48],"models.":[49],"The":[50],"former":[51],"suffers":[52],"from":[53],"explicit":[57,122],"features":[58,69,125],"extracted":[59],"by":[60,71,105],"subjective":[61],"experience":[62],"on":[63],"performance,":[65,192],"while":[66],"implicit":[68,124],"obtained":[70],"latter":[73],"are":[74],"sensitive":[75],"to":[76,93,119,126,148,181,196],"quality":[78],"recorded":[80],"data.":[81],"Therefore,":[82],"an":[83,169],"interpretable":[84],"knowledge":[85],"data":[87],"dual-driven":[88],"model":[89,186],"(IKD-DD)":[90],"is":[91,117],"proposed":[92,163,185],"integrate":[94],"robustness":[96],"learning":[98],"abilities":[99],"kinds":[102],"mutual":[107],"information-guided":[108],"joint":[109],"training":[110],"process.":[111],"Moreover,":[112],"multi-attention":[114],"(MA)":[115],"mechanism":[116],"adopted":[118],"fuse":[120],"enhance":[127],"discrimination":[129],"ability":[130],"feature":[133,138],"set":[134],"instead":[135],"conventional":[137],"concatenation.":[139],"Besides,":[140],"prototype-based":[142],"contrastive":[143],"loss":[144],"function":[145],"was":[146],"introduced":[147],"learn":[149],"behavior":[152],"even":[153,193],"with":[154,198],"limited":[155,199],"labeled":[156],"samples.":[157],"Experimental":[158],"results":[159],"demonstrate":[160],"that":[161],"load":[165],"method":[167],"achieves":[168],"accuracy":[171],"exceeding":[172],"90%":[173],"across":[174],"various":[175],"simulated":[176],"real":[178],"datasets.":[179],"Compared":[180],"existing":[182],"methods,":[183],"shows":[187],"significant":[188],"improvement":[189],"robust":[191],"when":[194],"applied":[195],"datasets":[197],"labels":[200],"poor":[202],"quality.":[203]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
