{"id":"https://openalex.org/W4407442635","doi":"https://doi.org/10.3724/2096-7004.di.2025.0002","title":"EVCharging-GPT: Predicting Electric Vehicle User Charging Behavior Using Large Language Models","display_name":"EVCharging-GPT: Predicting Electric Vehicle User Charging Behavior Using Large Language Models","publication_year":2025,"publication_date":"2025-02-14","ids":{"openalex":"https://openalex.org/W4407442635","doi":"https://doi.org/10.3724/2096-7004.di.2025.0002"},"language":"en","primary_location":{"id":"doi:10.3724/2096-7004.di.2025.0002","is_oa":true,"landing_page_url":"https://doi.org/10.3724/2096-7004.di.2025.0002","pdf_url":"https://www.sciengine.com/doi/pdf/056CB5BC72FB4E2BA0267CAF8940A052","source":{"id":"https://openalex.org/S4210186383","display_name":"Data Intelligence","issn_l":"2096-7004","issn":["2096-7004","2641-435X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718","https://openalex.org/P4310316440"],"host_organization_lineage_names":["The MIT Press","Massachusetts Institute of Technology"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.sciengine.com/doi/pdf/056CB5BC72FB4E2BA0267CAF8940A052","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027777654","display_name":"Houzhi Li","orcid":null},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Houzhi Li","raw_affiliation_strings":["State Grid Smart Internet of Vehicles Co., LTD. , Beijing 100031 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Smart Internet of Vehicles Co., LTD. , Beijing 100031 , China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100614573","display_name":"Jinyu Wang","orcid":"https://orcid.org/0000-0002-7581-4928"},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinyu Wang","raw_affiliation_strings":["State Grid Smart Internet of Vehicles Co., LTD. , Beijing 100031 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Smart Internet of Vehicles Co., LTD. , Beijing 100031 , China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010885675","display_name":"Zixin Jiang","orcid":"https://orcid.org/0009-0002-7824-6062"},"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"]},{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zixin Jiang","raw_affiliation_strings":["School of Artificial Intelligence , Beijing Normal University , Beijing 100875 , China","Tianjin University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence , Beijing Normal University , Beijing 100875 , China","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"Tianjin University","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103339674","display_name":"Guang-Huan Su","orcid":null},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guorui Su","raw_affiliation_strings":["School of Artificial Intelligence , Beijing Normal University , Beijing 100875 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence , Beijing Normal University , Beijing 100875 , China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012781260","display_name":"Chaowen Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaowen Yan","raw_affiliation_strings":["School of Artificial Intelligence , Beijing Normal University , Beijing 100875 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence , Beijing Normal University , Beijing 100875 , China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091622325","display_name":"Hao Su","orcid":"https://orcid.org/0000-0002-9686-6540"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hao Su","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5080268112","display_name":"Zhichun Wang","orcid":"https://orcid.org/0000-0001-8797-7065"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhichun Wang","raw_affiliation_strings":["School of Artificial Intelligence , Beijing Normal University , Beijing 100875 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence , Beijing Normal University , Beijing 100875 , China","institution_ids":["https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5588,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.58461902,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"7","issue":"2","first_page":"336","last_page":"357"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10768","display_name":"Electric Vehicles and Infrastructure","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T10768","display_name":"Electric Vehicles and Infrastructure","score":0.9993000030517578,"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/T12617","display_name":"Energy, Environment, and Transportation Policies","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/2105","display_name":"Renewable Energy, Sustainability and the Environment"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11336","display_name":"Energy and Environment Impacts","score":0.9746000170707703,"subfield":{"id":"https://openalex.org/subfields/2310","display_name":"Pollution"},"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/electric-vehicle","display_name":"Electric vehicle","score":0.622202455997467},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5486739873886108},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3386465311050415},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11867824196815491}],"concepts":[{"id":"https://openalex.org/C2776422217","wikidata":"https://www.wikidata.org/wiki/Q13629441","display_name":"Electric vehicle","level":3,"score":0.622202455997467},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5486739873886108},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3386465311050415},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11867824196815491},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3724/2096-7004.di.2025.0002","is_oa":true,"landing_page_url":"https://doi.org/10.3724/2096-7004.di.2025.0002","pdf_url":"https://www.sciengine.com/doi/pdf/056CB5BC72FB4E2BA0267CAF8940A052","source":{"id":"https://openalex.org/S4210186383","display_name":"Data Intelligence","issn_l":"2096-7004","issn":["2096-7004","2641-435X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718","https://openalex.org/P4310316440"],"host_organization_lineage_names":["The MIT Press","Massachusetts Institute of Technology"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.3724/2096-7004.di.2025.0002","is_oa":true,"landing_page_url":"https://doi.org/10.3724/2096-7004.di.2025.0002","pdf_url":"https://www.sciengine.com/doi/pdf/056CB5BC72FB4E2BA0267CAF8940A052","source":{"id":"https://openalex.org/S4210186383","display_name":"Data Intelligence","issn_l":"2096-7004","issn":["2096-7004","2641-435X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718","https://openalex.org/P4310316440"],"host_organization_lineage_names":["The MIT Press","Massachusetts Institute of Technology"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4407442635.pdf","grobid_xml":"https://content.openalex.org/works/W4407442635.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W2008605811","https://openalex.org/W3207109864","https://openalex.org/W4226278401","https://openalex.org/W4291034555","https://openalex.org/W4321854470","https://openalex.org/W4322766882","https://openalex.org/W4368353253","https://openalex.org/W4384918448","https://openalex.org/W4386270350","https://openalex.org/W4386766887","https://openalex.org/W4387355843","https://openalex.org/W4387559560","https://openalex.org/W4387724058","https://openalex.org/W4391045905","https://openalex.org/W4391835354","https://openalex.org/W4392182136","https://openalex.org/W4392677963","https://openalex.org/W4399837985","https://openalex.org/W4402085698","https://openalex.org/W4403687389","https://openalex.org/W6796581206","https://openalex.org/W6846326645","https://openalex.org/W6856051742","https://openalex.org/W6859702968","https://openalex.org/W6860820630","https://openalex.org/W6875027060"],"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":{"With":[0],"the":[1,5,45,76,80,116,125,135,173,176,193,196],"rapid":[2],"growth":[3],"of":[4,48,84,109,175,195],"electric":[6],"vehicle":[7],"(EV)":[8],"market,":[9],"accurately":[10],"predicting":[11,200],"user":[12,35,93,100,201],"charging":[13,26,46,101,126],"behavior":[14,47,94,127,202],"has":[15],"become":[16],"particularly":[17],"important.":[18],"This":[19,40],"not":[20],"only":[21],"guides":[22],"power":[23],"distribution":[24],"and":[25,37,65,105,114,152,160,187,205,213],"station":[27],"planning":[28],"but":[29],"is":[30,75],"also":[31],"crucial":[32],"for":[33,91,112,199,210],"improving":[34],"satisfaction":[36],"operational":[38],"efficiency.":[39],"study":[41],"aims":[42],"to":[43,78,137,144,166],"predict":[44],"EV":[49,92,99],"users":[50],"using":[51],"Large":[52],"Language":[53],"Models":[54],"(LLMs).":[55],"Unlike":[56],"traditional":[57,188],"methods":[58],"such":[59],"as":[60],"Long":[61],"Short-Term":[62],"Memory":[63],"(LSTM)":[64],"XGBoost,":[66],"or":[67],"single-task":[68],"prediction":[69,128],"models,":[70],"our":[71],"proposed":[72],"model,":[73,178],"EVCharging-GPT,":[74],"first":[77],"integrate":[79,150],"text":[81],"generation":[82],"capabilities":[83],"LLMs":[85,186],"with":[86,184],"a":[87,107,131,207],"multi-task":[88],"learning":[89],"framework":[90],"prediction.":[95],"We":[96],"construct":[97],"an":[98],"data":[102],"processing":[103],"flow":[104],"create":[106],"dataset":[108],"real":[110],"scenarios":[111],"fine-tuning":[113],"testing":[115],"model.":[117],"By":[118],"carefully":[119],"designing":[120],"prompt":[121],"templates,":[122],"we":[123,149,179],"transform":[124],"task":[129],"into":[130],"text-to-text":[132],"format,":[133],"allowing":[134],"model":[136],"leverage":[138],"its":[139],"rich":[140],"pre-trained":[141],"knowledge":[142],"base":[143],"make":[145],"effective":[146],"predictions.":[147],"Additionally,":[148],"temporal":[151],"static":[153],"categorical":[154],"features":[155],"through":[156],"natural":[157],"language":[158],"prompts":[159],"employ":[161],"LoRA":[162],"(Low-Rank":[163],"Adaptation)":[164],"technology":[165],"achieve":[167],"efficient":[168],"domain":[169],"adaptation.":[170],"To":[171],"verify":[172],"effectiveness":[174],"EVCharging-GPT":[177],"conduct":[180],"extensive":[181],"comparative":[182],"experiments":[183],"various":[185],"models.":[189],"The":[190],"results":[191],"demonstrate":[192],"potential":[194],"LLM-based":[197],"approach":[198],"in":[203],"EVs":[204],"provide":[206],"solid":[208],"foundation":[209],"future":[211],"research":[212],"applications.":[214]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-08-25T07:29:55.448023","created_date":"2025-10-10T00:00:00"}