{"id":"https://openalex.org/W4399040007","doi":"https://doi.org/10.1109/tits.2024.3401850","title":"A Physics-Informed and Attention-Based Graph Learning Approach for Regional Electric Vehicle Charging Demand Prediction","display_name":"A Physics-Informed and Attention-Based Graph Learning Approach for Regional Electric Vehicle Charging Demand Prediction","publication_year":2024,"publication_date":"2024-05-27","ids":{"openalex":"https://openalex.org/W4399040007","doi":"https://doi.org/10.1109/tits.2024.3401850"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2024.3401850","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2024.3401850","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","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/A5017709369","display_name":"Haohao Qu","orcid":"https://orcid.org/0000-0001-7129-8586"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]},{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN","HK"],"is_corresponding":true,"raw_author_name":"Haohao Qu","raw_affiliation_strings":["School of Intelligent Systems Engineering, Sun Yatsen University, Guangzhou, China","Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"School of Intelligent Systems Engineering, Sun Yatsen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037616470","display_name":"H. H. Kuang","orcid":"https://orcid.org/0000-0002-7395-1929"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoxuan Kuang","raw_affiliation_strings":["School of Intelligent Systems Engineering, Sun Yatsen University, Guangzhou, China","School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Intelligent Systems Engineering, Sun Yatsen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082233101","display_name":"Qiuxuan Wang","orcid":"https://orcid.org/0000-0002-5537-6238"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiuxuan Wang","raw_affiliation_strings":["School of Intelligent Systems Engineering, Sun Yatsen University, Guangzhou, China","School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Intelligent Systems Engineering, Sun Yatsen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073054123","display_name":"Jun Li","orcid":"https://orcid.org/0000-0003-3062-4140"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Li","raw_affiliation_strings":["School of Intelligent Systems Engineering, Sun Yatsen University, Guangzhou, China","School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Intelligent Systems Engineering, Sun Yatsen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103025983","display_name":"Linlin You","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linlin You","raw_affiliation_strings":["School of Intelligent Systems Engineering, Sun Yatsen University, Guangzhou, China","School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Intelligent Systems Engineering, Sun Yatsen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5017709369"],"corresponding_institution_ids":["https://openalex.org/I14243506","https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":11.3836,"has_fulltext":false,"cited_by_count":55,"citation_normalized_percentile":{"value":0.99014983,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"25","issue":"10","first_page":"14284","last_page":"14297"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10768","display_name":"Electric Vehicles and Infrastructure","score":0.9998999834060669,"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":0.9998999834060669,"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/T10663","display_name":"Advanced Battery Technologies Research","score":0.9987999796867371,"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/T10808","display_name":"Electric and Hybrid Vehicle Technologies","score":0.9873999953269958,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/electric-vehicle","display_name":"Electric vehicle","score":0.5897592902183533},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4251178205013275},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3905841112136841},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3459314703941345},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.28895026445388794},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.13662728667259216},{"id":"https://openalex.org/keywords/quantum-mechanics","display_name":"Quantum mechanics","score":0.1280871331691742},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.09674254059791565}],"concepts":[{"id":"https://openalex.org/C2776422217","wikidata":"https://www.wikidata.org/wiki/Q13629441","display_name":"Electric vehicle","level":3,"score":0.5897592902183533},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4251178205013275},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3905841112136841},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3459314703941345},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.28895026445388794},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.13662728667259216},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.1280871331691742},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.09674254059791565}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2024.3401850","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2024.3401850","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3739972484","display_name":null,"funder_award_id":"2023A1515012895","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G8773826452","display_name":null,"funder_award_id":"2023YFB4301900","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W2040470807","https://openalex.org/W2064675550","https://openalex.org/W2089574748","https://openalex.org/W2119862467","https://openalex.org/W2122111042","https://openalex.org/W2134957713","https://openalex.org/W2147800946","https://openalex.org/W2194775991","https://openalex.org/W2517896648","https://openalex.org/W2756203131","https://openalex.org/W2887085136","https://openalex.org/W2890096158","https://openalex.org/W2899283552","https://openalex.org/W2963358464","https://openalex.org/W2969279223","https://openalex.org/W2974087501","https://openalex.org/W2974793789","https://openalex.org/W3010183492","https://openalex.org/W3016228254","https://openalex.org/W3045200674","https://openalex.org/W3103720336","https://openalex.org/W3125789648","https://openalex.org/W3160835944","https://openalex.org/W3169292842","https://openalex.org/W3196178504","https://openalex.org/W4206788904","https://openalex.org/W4220812250","https://openalex.org/W4282576555","https://openalex.org/W4283791586","https://openalex.org/W4285820850","https://openalex.org/W4294068709","https://openalex.org/W4296682874","https://openalex.org/W4311401368","https://openalex.org/W4312404745","https://openalex.org/W4322101447","https://openalex.org/W4375953048","https://openalex.org/W4378906838","https://openalex.org/W4381851732","https://openalex.org/W4385245566","https://openalex.org/W4388676601","https://openalex.org/W4391693877","https://openalex.org/W4392739310","https://openalex.org/W6631190155","https://openalex.org/W6726873649","https://openalex.org/W6736057607","https://openalex.org/W6745537798","https://openalex.org/W6746015598","https://openalex.org/W6858721613"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Along":[0],"with":[1,117],"the":[2,9,18,26,70,84,114,139,156,179,188,192],"proliferation":[3],"of":[4,11,94,141,169],"electric":[5],"vehicles":[6],"(EVs),":[7],"optimizing":[8],"use":[10],"EV":[12,37,126,171],"charging":[13,38,74,77,127,172,196],"space":[14],"can":[15,59,182],"significantly":[16],"alleviate":[17],"growing":[19],"load":[20],"on":[21,166],"intelligent":[22],"transportation":[23],"systems.":[24],"As":[25],"foundation":[27],"to":[28,67,101,109,159,190],"achieve":[29,183],"such":[30],"an":[31,102,119],"optimization,":[32],"a":[33,132,167],"spatiotemporal":[34],"method":[35],"for":[36,125,147],"demand":[39],"prediction":[40,123],"in":[41,155,174,195],"urban":[42],"areas":[43],"is":[44,90],"required.":[45],"Although":[46],"several":[47],"solutions":[48],"have":[49],"been":[50],"proposed":[51,180],"by":[52,87,199],"using":[53],"data-driven":[54],"deep":[55],"learning":[56],"methods,":[57],"it":[58],"be":[60],"that":[61,82,105,178],"these":[62],"performance-oriented":[63],"approaches":[64],"may":[65],"struggle":[66],"correctly":[68],"understand":[69,191],"underlying":[71],"factors":[72],"influencing":[73],"demand,":[75,128],"particularly":[76],"prices.":[78],"A":[79],"representative":[80],"case":[81],"highlights":[83],"challenge":[85],"faced":[86],"existing":[88],"methods":[89],"their":[91],"potential":[92],"misinterpretation":[93],"high":[95],"prices":[96,107],"during":[97],"peak":[98],"times,":[99],"leading":[100],"incorrect":[103],"assumption":[104],"higher":[106],"correspond":[108],"increased":[110],"demand.":[111],"To":[112],"address":[113],"challenges":[115],"associated":[116],"training":[118],"accurate":[120],"and":[121,143,151,187],"reliable":[122],"model":[124],"this":[129],"paper":[130],"proposes":[131],"novel":[133],"approach":[134,181],"called":[135],"PAG,":[136],"which":[137],"leverages":[138],"integration":[140],"graph":[142],"temporal":[144],"attention":[145],"mechanisms":[146],"effective":[148],"feature":[149],"extraction":[150],"introduces":[152],"physics-informed":[153],"meta-learning":[154],"pre-training":[157],"step":[158],"facilitate":[160],"prior":[161],"knowledge":[162],"learning.":[163],"Evaluation":[164],"results":[165],"dataset":[168],"18,061":[170],"piles":[173],"Shenzhen,":[175],"China,":[176],"show":[177],"state-of-the-art":[184],"forecasting":[185],"performance":[186],"ability":[189],"adaptive":[193],"changes":[194],"demands":[197],"caused":[198],"price":[200],"fluctuations.":[201]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":39},{"year":2024,"cited_by_count":9}],"updated_date":"2026-04-04T08:04:53.788161","created_date":"2025-10-10T00:00:00"}
