{"id":"https://openalex.org/W4401414786","doi":"https://doi.org/10.1109/cec60901.2024.10611768","title":"Evolution-Assisted Deep Reinforcement Learning for Fast Charging Station Coordinated Operation","display_name":"Evolution-Assisted Deep Reinforcement Learning for Fast Charging Station Coordinated Operation","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4401414786","doi":"https://doi.org/10.1109/cec60901.2024.10611768"},"language":"en","primary_location":{"id":"doi:10.1109/cec60901.2024.10611768","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec60901.2024.10611768","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-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/A5101462672","display_name":"Xiaoying Yang","orcid":"https://orcid.org/0000-0003-4506-4801"},"institutions":[{"id":"https://openalex.org/I13591777","display_name":"University of Nottingham Ningbo China","ror":"https://ror.org/03y4dt428","country_code":"CN","type":"education","lineage":["https://openalex.org/I13591777","https://openalex.org/I142263535"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoying Yang","raw_affiliation_strings":["School of Computer Science, University of Nottingham Ningbo China,Ningbo,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Nottingham Ningbo China,Ningbo,China","institution_ids":["https://openalex.org/I13591777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114205041","display_name":"Yujing Gu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210117020","display_name":"Nantong Science and Technology Bureau","ror":"https://ror.org/02tx34m84","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210117020"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujing Gu","raw_affiliation_strings":["State Grid Nantong Power Supply Company,Nantong,China"],"affiliations":[{"raw_affiliation_string":"State Grid Nantong Power Supply Company,Nantong,China","institution_ids":["https://openalex.org/I4210117020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079852333","display_name":"Fuhua Jia","orcid":null},"institutions":[{"id":"https://openalex.org/I13591777","display_name":"University of Nottingham Ningbo China","ror":"https://ror.org/03y4dt428","country_code":"CN","type":"education","lineage":["https://openalex.org/I13591777","https://openalex.org/I142263535"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuhua Jia","raw_affiliation_strings":["Materials and Manufacturing Engineering, University of Nottingham Ningbo China,Department of Mechanical,Ningbo,China"],"affiliations":[{"raw_affiliation_string":"Materials and Manufacturing Engineering, University of Nottingham Ningbo China,Department of Mechanical,Ningbo,China","institution_ids":["https://openalex.org/I13591777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100427546","display_name":"Yiran Li","orcid":"https://orcid.org/0000-0002-1790-4044"},"institutions":[{"id":"https://openalex.org/I13591777","display_name":"University of Nottingham Ningbo China","ror":"https://ror.org/03y4dt428","country_code":"CN","type":"education","lineage":["https://openalex.org/I13591777","https://openalex.org/I142263535"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiran Li","raw_affiliation_strings":["School of Computer Science, University of Nottingham Ningbo China,Ningbo,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Nottingham Ningbo China,Ningbo,China","institution_ids":["https://openalex.org/I13591777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017695776","display_name":"Hongru Wang","orcid":"https://orcid.org/0000-0002-9859-4462"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongru Wang","raw_affiliation_strings":["School of Electrical Engineering, Southeast University,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Southeast University,Nanjing,China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007498582","display_name":"Nanjiang Du","orcid":"https://orcid.org/0000-0003-2029-4563"},"institutions":[{"id":"https://openalex.org/I13591777","display_name":"University of Nottingham Ningbo China","ror":"https://ror.org/03y4dt428","country_code":"CN","type":"education","lineage":["https://openalex.org/I13591777","https://openalex.org/I142263535"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nanjiang Du","raw_affiliation_strings":["School of Computer Science, University of Nottingham Ningbo China,Ningbo,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Nottingham Ningbo China,Ningbo,China","institution_ids":["https://openalex.org/I13591777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020724945","display_name":"Tianxiang Cui","orcid":"https://orcid.org/0000-0002-0102-2581"},"institutions":[{"id":"https://openalex.org/I13591777","display_name":"University of Nottingham Ningbo China","ror":"https://ror.org/03y4dt428","country_code":"CN","type":"education","lineage":["https://openalex.org/I13591777","https://openalex.org/I142263535"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianxiang Cui","raw_affiliation_strings":["School of Computer Science, University of Nottingham Ningbo China,Ningbo,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Nottingham Ningbo China,Ningbo,China","institution_ids":["https://openalex.org/I13591777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044155484","display_name":"Yujian Ye","orcid":"https://orcid.org/0000-0002-9278-9218"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujian Ye","raw_affiliation_strings":["School of Electrical Engineering, Southeast University,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Southeast University,Nanjing,China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046750599","display_name":"Ruibin Bai","orcid":"https://orcid.org/0000-0003-1722-568X"},"institutions":[{"id":"https://openalex.org/I13591777","display_name":"University of Nottingham Ningbo China","ror":"https://ror.org/03y4dt428","country_code":"CN","type":"education","lineage":["https://openalex.org/I13591777","https://openalex.org/I142263535"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruibin Bai","raw_affiliation_strings":["School of Computer Science, University of Nottingham Ningbo China,Ningbo,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Nottingham Ningbo China,Ningbo,China","institution_ids":["https://openalex.org/I13591777"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5101462672"],"corresponding_institution_ids":["https://openalex.org/I13591777"],"apc_list":null,"apc_paid":null,"fwci":0.4334,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60169515,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10663","display_name":"Advanced Battery Technologies Research","score":0.998199999332428,"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"}},"topics":[{"id":"https://openalex.org/T10663","display_name":"Advanced Battery Technologies Research","score":0.998199999332428,"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/T10768","display_name":"Electric Vehicles and Infrastructure","score":0.9961000084877014,"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":0.9944999814033508,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.8660801649093628},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6599799990653992},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3857899308204651}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8660801649093628},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6599799990653992},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3857899308204651}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec60901.2024.10611768","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec60901.2024.10611768","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1518456858","https://openalex.org/W2069651500","https://openalex.org/W2090037166","https://openalex.org/W2158762687","https://openalex.org/W2568633907","https://openalex.org/W2584521611","https://openalex.org/W2978401149","https://openalex.org/W2989646934","https://openalex.org/W2990788382","https://openalex.org/W3003503702","https://openalex.org/W3006224871","https://openalex.org/W3083499264","https://openalex.org/W3124053204","https://openalex.org/W3124312301","https://openalex.org/W3129625903","https://openalex.org/W3135735015","https://openalex.org/W3142443016","https://openalex.org/W3163107061","https://openalex.org/W3187402890","https://openalex.org/W3194290656","https://openalex.org/W3197267433","https://openalex.org/W3200898618","https://openalex.org/W3200932651","https://openalex.org/W3211130228","https://openalex.org/W3213170862","https://openalex.org/W4213232890","https://openalex.org/W4225554962","https://openalex.org/W4226161393","https://openalex.org/W4280638902","https://openalex.org/W4283784195","https://openalex.org/W4307154771","https://openalex.org/W4309749674","https://openalex.org/W4312199676","https://openalex.org/W4312817642","https://openalex.org/W4313131118","https://openalex.org/W4376457099","https://openalex.org/W4382393536","https://openalex.org/W4385605033","https://openalex.org/W4386028001","https://openalex.org/W4386590772","https://openalex.org/W4386825957","https://openalex.org/W4386951851","https://openalex.org/W4388260648","https://openalex.org/W4389100928","https://openalex.org/W4390576162"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4306904969","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2138720691","https://openalex.org/W2376932109","https://openalex.org/W4362501864","https://openalex.org/W2001405890"],"abstract_inverted_index":{"The":[0,134],"shift":[1],"towards":[2],"transportation":[3,69],"electrification,":[4],"marked":[5],"by":[6],"the":[7,15,32,47,64,84,94,151,160,175,182,188,217,228],"rising":[8],"use":[9,152],"of":[10,17,34,153,191,219,230],"electric":[11],"vehicles":[12],"(EVs)":[13],"and":[14,36,60,68,129,173,200,212,215],"development":[16],"fast":[18],"charging":[19,39],"stations":[20],"(FCS),":[21],"plays":[22],"a":[23,109,154,192],"crucial":[24],"role":[25],"in":[26,93,240],"transport":[27],"decarbonization":[28],"initiatives.":[29],"To":[30,103],"optimize":[31],"rollout":[33],"FCS":[35,49,95],"set":[37],"appropriate":[38],"service":[40],"fees":[41],"(CSF)-a":[42],"process":[43],"referred":[44],"to":[45,78,80,88,91,169,236],"as":[46],"coupled":[48],"multi-stage":[50],"bi-level":[51],"operation":[52],"problem":[53],"(FCS-MBOP)-is":[54],"essential":[55],"for":[56],"improving":[57],"both":[58,210],"investment":[59,101,126,148,185,223],"operational":[61,131],"efficiency":[62],"within":[63,83],"integrated":[65,189],"power":[66],"distribution":[67],"network":[70,195],"(CPTN).":[71],"For":[72],"operators,":[73],"it's":[74],"not":[75],"only":[76],"necessary":[77],"adapt":[79],"short-term":[81],"fluctuations":[82],"environment":[85],"but":[86],"also":[87],"swiftly":[89],"respond":[90],"changes":[92],"layout":[96],"resulting":[97],"from":[98],"various":[99],"long-term":[100,141],"decisions.":[102,186],"address":[104],"this":[105],"complexity,":[106],"we":[107],"introduce":[108],"dual-timescale":[110],"evolutionary":[111],"assist":[112],"deep":[113],"reinforcement":[114],"learning":[115],"framework,":[116],"which":[117],"includes":[118],"two":[119],"specialized":[120],"agents":[121,205],"with":[122],"distinct":[123],"functions:":[124],"an":[125,130,164],"agent":[127,132],"(planner)":[128],"(operator).":[133],"planner":[135],"focuses":[136],"on":[137,163],"annual":[138],"investments,":[139],"evolving":[140],"strategies":[142],"that":[143],"weigh":[144],"social":[145,176],"benefits":[146],"against":[147],"costs":[149],"through":[150],"genetic":[155],"algorithm":[156],"(GA).":[157],"In":[158],"contrast,":[159],"operator":[161],"acts":[162],"hourly":[165],"basis,":[166],"fine-tuning":[167],"CSF":[168],"alleviate":[170],"traffic":[171],"congestion":[172],"minimize":[174],"costs,":[177],"while":[178],"taking":[179],"into":[180],"account":[181],"planner's":[183],"feasible":[184],"Leveraging":[187],"capabilities":[190],"graph":[193],"neural":[194],"(GNN),":[196],"long-short-term":[197],"memory":[198],"(LSTM),":[199],"attention":[201],"mechanisms,":[202],"our":[203,231],"framework's":[204],"are":[206],"adept":[207],"at":[208],"extracting":[209],"temporal":[211],"spatial":[213],"features":[214],"facilitating":[216],"transfer":[218],"experiences":[220],"across":[221],"different":[222],"stages.":[224],"Empirical":[225],"evidence":[226],"underscores":[227],"effectiveness":[229],"approach,":[232],"showcasing":[233],"its":[234],"ability":[235],"surpass":[237],"conventional":[238],"methodologies":[239],"delivering":[241],"high-quality":[242],"solutions.":[243]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}