{"id":"https://openalex.org/W4385224642","doi":"https://doi.org/10.3390/bdcc7030133","title":"Evaluation Method of Electric Vehicle Charging Station Operation Based on Contrastive Learning","display_name":"Evaluation Method of Electric Vehicle Charging Station Operation Based on Contrastive Learning","publication_year":2023,"publication_date":"2023-07-24","ids":{"openalex":"https://openalex.org/W4385224642","doi":"https://doi.org/10.3390/bdcc7030133"},"language":"en","primary_location":{"id":"doi:10.3390/bdcc7030133","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc7030133","pdf_url":"https://www.mdpi.com/2504-2289/7/3/133/pdf?version=1690174283","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2504-2289/7/3/133/pdf?version=1690174283","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026432137","display_name":"Zeyang Tang","orcid":"https://orcid.org/0000-0002-6051-9432"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ze-Yang Tang","raw_affiliation_strings":["State Grid Hubei Electric Power Research Institute, Wuhan 430077, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Hubei Electric Power Research Institute, Wuhan 430077, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101226959","display_name":"Qi-Biao Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qi-Biao Hu","raw_affiliation_strings":["School of Information Management, Wuhan University, Wuhan 430072, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Management, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048086555","display_name":"Yibo Cui","orcid":"https://orcid.org/0000-0002-1045-6947"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yi-Bo Cui","raw_affiliation_strings":["State Grid Hubei Electric Power Research Institute, Wuhan 430077, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Hubei Electric Power Research Institute, Wuhan 430077, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008825834","display_name":"Lei Hu","orcid":"https://orcid.org/0000-0002-9603-4760"},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Hu","raw_affiliation_strings":["School of Microelectronics, Hubei University, Wuhan 430062, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Microelectronics, Hubei University, Wuhan 430062, China","institution_ids":["https://openalex.org/I75900474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100367696","display_name":"Yiwen Li","orcid":"https://orcid.org/0000-0003-1538-4345"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi-Wen Li","raw_affiliation_strings":["School of Information Management, Wuhan University, Wuhan 430072, China","State Grid Hubei Electric Power Research Institute, Wuhan 430077, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Management, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"State Grid Hubei Electric Power Research Institute, Wuhan 430077, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100340430","display_name":"Yujie Li","orcid":"https://orcid.org/0000-0001-5917-8370"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu-Jie Li","raw_affiliation_strings":["School of Information Management, Wuhan University, Wuhan 430072, China","State Grid Hubei Electric Power Research Institute, Wuhan 430077, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Management, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"State Grid Hubei Electric Power Research Institute, Wuhan 430077, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101226959"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1782},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1782},"fwci":0.1674,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.40339976,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"7","issue":"3","first_page":"133","last_page":"133"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10768","display_name":"Electric Vehicles and Infrastructure","score":0.9997000098228455,"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":0.9997000098228455,"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/T11336","display_name":"Energy and Environment Impacts","score":0.9926000237464905,"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"}},{"id":"https://openalex.org/T12617","display_name":"Energy, Environment, and Transportation Policies","score":0.9919000267982483,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6713030338287354},{"id":"https://openalex.org/keywords/evaluation-methods","display_name":"Evaluation methods","score":0.5409162640571594},{"id":"https://openalex.org/keywords/charging-station","display_name":"Charging station","score":0.5254430174827576},{"id":"https://openalex.org/keywords/electric-vehicle","display_name":"Electric vehicle","score":0.5042122602462769},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4236978590488434},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3576900064945221},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.33153897523880005},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.33132296800613403},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3279988765716553},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.269689679145813},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2034287452697754}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6713030338287354},{"id":"https://openalex.org/C3018395757","wikidata":"https://www.wikidata.org/wiki/Q1379672","display_name":"Evaluation methods","level":2,"score":0.5409162640571594},{"id":"https://openalex.org/C2779607880","wikidata":"https://www.wikidata.org/wiki/Q2140665","display_name":"Charging station","level":4,"score":0.5254430174827576},{"id":"https://openalex.org/C2776422217","wikidata":"https://www.wikidata.org/wiki/Q13629441","display_name":"Electric vehicle","level":3,"score":0.5042122602462769},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4236978590488434},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3576900064945221},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.33153897523880005},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.33132296800613403},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3279988765716553},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.269689679145813},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2034287452697754},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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":3,"locations":[{"id":"doi:10.3390/bdcc7030133","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc7030133","pdf_url":"https://www.mdpi.com/2504-2289/7/3/133/pdf?version=1690174283","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:60be90f9cf98475aafe8da6a28ff0de2","is_oa":true,"landing_page_url":"https://doaj.org/article/60be90f9cf98475aafe8da6a28ff0de2","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Big Data and Cognitive Computing, Vol 7, Iss 3, p 133 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2504-2289/7/3/133/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/bdcc7030133","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Big Data and Cognitive Computing; Volume 7; Issue 3; Pages: 133","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/bdcc7030133","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc7030133","pdf_url":"https://www.mdpi.com/2504-2289/7/3/133/pdf?version=1690174283","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3502353336","display_name":null,"funder_award_id":"B3153221001D","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7321521915","display_name":"\u878d\u5408\u7279\u5f81\u56fe\u8c31\u4e0e\u56fe\u795e\u7ecf\u7f51\u7edc\u7684\u7528\u6237\u865a\u5047\u8bc4\u8bba\u610f\u56fe\u573a\u666f\u5316\u8bc6\u522b\u4e0e\u9884\u6d4b\u7814\u7a76","funder_award_id":"72074171","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":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4385224642.pdf"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W2138621090","https://openalex.org/W2206373005","https://openalex.org/W2509571898","https://openalex.org/W2517194566","https://openalex.org/W2581825548","https://openalex.org/W2624385633","https://openalex.org/W2740721704","https://openalex.org/W2792673731","https://openalex.org/W2808979505","https://openalex.org/W2810287450","https://openalex.org/W2888580977","https://openalex.org/W2888839008","https://openalex.org/W2891665377","https://openalex.org/W2896489432","https://openalex.org/W2912525277","https://openalex.org/W2912786760","https://openalex.org/W2963626623","https://openalex.org/W2965672544","https://openalex.org/W2969413139","https://openalex.org/W2996417849","https://openalex.org/W3000507678","https://openalex.org/W3017611131","https://openalex.org/W3032951514","https://openalex.org/W3035524453","https://openalex.org/W3049309800","https://openalex.org/W3081095512","https://openalex.org/W3100859887","https://openalex.org/W3103701942","https://openalex.org/W3129903963","https://openalex.org/W3156636935","https://openalex.org/W3165582460","https://openalex.org/W3185740476","https://openalex.org/W3202613616","https://openalex.org/W3215221566","https://openalex.org/W4205803571","https://openalex.org/W4210791747","https://openalex.org/W4280584135","https://openalex.org/W4283805954","https://openalex.org/W4285606432","https://openalex.org/W4296794489","https://openalex.org/W6779977557"],"related_works":["https://openalex.org/W2981497404","https://openalex.org/W2362149433","https://openalex.org/W4378211444","https://openalex.org/W3203839526","https://openalex.org/W2986711310","https://openalex.org/W2156399915","https://openalex.org/W4310614479","https://openalex.org/W2084958424","https://openalex.org/W4390190385","https://openalex.org/W4226096579"],"abstract_inverted_index":{"This":[0],"paper":[1,46],"aims":[2],"to":[3,84],"address":[4],"the":[5,9,22,58,65,72,86,97,106,109,138,162,171,184,201],"issue":[6],"of":[7,11,24,60,81,105,140,156,164,173,187,203],"evaluating":[8],"operation":[10,59,139,163,202],"electric":[12],"vehicle":[13],"charging":[14,61,76,82,188,204],"stations":[15,83],"(EVCSs).":[16],"Previous":[17],"studies":[18],"have":[19],"commonly":[20],"employed":[21],"method":[23,50],"constructing":[25],"comprehensive":[26],"evaluation":[27,49,98,122,125,145],"systems,":[28],"which":[29],"greatly":[30],"relies":[31],"on":[32,52],"manual":[33],"experience":[34],"for":[35,56,170,194,200],"index":[36],"selection":[37],"and":[38,78,89,100,108,135,152,166,183,197],"weight":[39],"allocation.":[40],"To":[41],"overcome":[42],"this":[43,45,69,94,147],"limitation,":[44],"proposes":[47],"an":[48],"based":[51],"natural":[53],"language":[54],"models":[55],"assessing":[57],"stations.":[62,205],"By":[63],"utilizing":[64],"proposed":[66,110],"SimCSEBERT":[67],"model,":[68],"study":[70,95],"analyzes":[71],"operational":[73,87],"data,":[74,77],"user":[75,167],"basic":[79],"information":[80],"predict":[85],"status":[88],"identify":[90],"influential":[91],"factors.":[92],"Additionally,":[93],"compared":[96],"accuracy":[99,104,123,126,132],"impact":[101,129],"factor":[102,130],"analysis":[103,131],"baseline":[107],"model.":[111],"The":[112],"experimental":[113],"results":[114],"demonstrate":[115],"that":[116,176],"our":[117],"model":[118],"achieves":[119],"a":[120,153],"higher":[121,154],"(operation":[124],"=":[127,133],"0.9464;":[128],"0.9492)":[134],"effectively":[136],"assesses":[137],"EVCSs.":[141],"Compared":[142],"with":[143],"traditional":[144],"methods,":[146],"approach":[148],"exhibits":[149],"improved":[150],"universality":[151],"level":[155],"intelligence.":[157],"It":[158],"provides":[159],"insights":[160],"into":[161],"EVCSs":[165],"demands,":[168],"allowing":[169],"resolution":[172],"supply\u2013demand":[174],"contradictions":[175],"are":[177],"caused":[178],"by":[179],"power":[180],"supply":[181],"constraints":[182],"uneven":[185],"distribution":[186],"demands.":[189],"Furthermore,":[190],"it":[191],"offers":[192],"guidance":[193],"more":[195],"efficient":[196],"targeted":[198],"strategies":[199]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}