{"id":"https://openalex.org/W4410583887","doi":"https://doi.org/10.1109/isc260477.2024.11004246","title":"Agent-Based Decentralized Energy Management of EV Charging Station with Solar Photovoltaics via Multi-Agent Reinforcement Learning","display_name":"Agent-Based Decentralized Energy Management of EV Charging Station with Solar Photovoltaics via Multi-Agent Reinforcement Learning","publication_year":2024,"publication_date":"2024-10-29","ids":{"openalex":"https://openalex.org/W4410583887","doi":"https://doi.org/10.1109/isc260477.2024.11004246"},"language":"en","primary_location":{"id":"doi:10.1109/isc260477.2024.11004246","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isc260477.2024.11004246","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Smart Cities Conference (ISC2)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2505.18750","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5104162447","display_name":"Jiarong Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jiarong Fan","raw_affiliation_strings":["Monash University,AI Faculty of IT,Department of Data Science,Melbourne,VIC,Australia,3800"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Monash University,AI Faculty of IT,Department of Data Science,Melbourne,VIC,Australia,3800","institution_ids":["https://openalex.org/I56590836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103136133","display_name":"Chenghao Huang","orcid":"https://orcid.org/0000-0003-2961-6282"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chenghao Huang","raw_affiliation_strings":["Monash University,AI Faculty of IT,Department of Data Science,Melbourne,VIC,Australia,3800"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Monash University,AI Faculty of IT,Department of Data Science,Melbourne,VIC,Australia,3800","institution_ids":["https://openalex.org/I56590836"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114377976","display_name":"Hao Wang","orcid":"https://orcid.org/0000-0001-5182-7938"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Hao Wang","raw_affiliation_strings":["Monash Energy Institute, Monash University,AI Faculty of IT,Department of Data Science,Melbourne,VIC,Australia,3800"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Monash Energy Institute, Monash University,AI Faculty of IT,Department of Data Science,Melbourne,VIC,Australia,3800","institution_ids":["https://openalex.org/I56590836"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I56590836"],"apc_list":null,"apc_paid":null,"fwci":3.6923,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.94826929,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10768","display_name":"Electric Vehicles and Infrastructure","score":0.9998000264167786,"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":0.9998000264167786,"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/T11942","display_name":"Transportation and Mobility Innovations","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/T10603","display_name":"Smart Grid Energy Management","score":0.9945999979972839,"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/photovoltaics","display_name":"Photovoltaics","score":0.801295816898346},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7956695556640625},{"id":"https://openalex.org/keywords/photovoltaic-system","display_name":"Photovoltaic system","score":0.5391647219657898},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5092839002609253},{"id":"https://openalex.org/keywords/energy-management","display_name":"Energy management","score":0.49884939193725586},{"id":"https://openalex.org/keywords/solar-energy","display_name":"Solar energy","score":0.47475960850715637},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3603973984718323},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.33438414335250854},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.33291035890579224},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.26197800040245056},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2578413784503937},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18033871054649353},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11461794376373291}],"concepts":[{"id":"https://openalex.org/C542589376","wikidata":"https://www.wikidata.org/wiki/Q192127","display_name":"Photovoltaics","level":3,"score":0.801295816898346},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7956695556640625},{"id":"https://openalex.org/C41291067","wikidata":"https://www.wikidata.org/wiki/Q1897785","display_name":"Photovoltaic system","level":2,"score":0.5391647219657898},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5092839002609253},{"id":"https://openalex.org/C7817414","wikidata":"https://www.wikidata.org/wiki/Q1779504","display_name":"Energy management","level":3,"score":0.49884939193725586},{"id":"https://openalex.org/C541104983","wikidata":"https://www.wikidata.org/wiki/Q40015","display_name":"Solar energy","level":2,"score":0.47475960850715637},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3603973984718323},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.33438414335250854},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.33291035890579224},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.26197800040245056},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2578413784503937},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18033871054649353},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11461794376373291},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isc260477.2024.11004246","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isc260477.2024.11004246","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Smart Cities Conference (ISC2)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2505.18750","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2505.18750","pdf_url":"https://arxiv.org/pdf/2505.18750","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2505.18750","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2505.18750","pdf_url":"https://arxiv.org/pdf/2505.18750","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1964563559","https://openalex.org/W2041741439","https://openalex.org/W2045870698","https://openalex.org/W2051431619","https://openalex.org/W2064675550","https://openalex.org/W2194903669","https://openalex.org/W2769948153","https://openalex.org/W2782189251","https://openalex.org/W2791256869","https://openalex.org/W2793153958","https://openalex.org/W2910531128","https://openalex.org/W2952348579","https://openalex.org/W2985230321","https://openalex.org/W2989127100","https://openalex.org/W3008803487","https://openalex.org/W3020239300","https://openalex.org/W3128955269","https://openalex.org/W3132328326","https://openalex.org/W3135730722","https://openalex.org/W3135862802","https://openalex.org/W3171909095","https://openalex.org/W3196815110","https://openalex.org/W3208174016","https://openalex.org/W4214717370","https://openalex.org/W4226056984","https://openalex.org/W4281779774","https://openalex.org/W4299802797","https://openalex.org/W4379524574","https://openalex.org/W4385118609","https://openalex.org/W4388726298","https://openalex.org/W4388851664","https://openalex.org/W4401351747","https://openalex.org/W6738796088"],"related_works":["https://openalex.org/W2740431185","https://openalex.org/W2111287004","https://openalex.org/W394760994","https://openalex.org/W4306904969","https://openalex.org/W2386968573","https://openalex.org/W2395064349","https://openalex.org/W423694295","https://openalex.org/W4310584159","https://openalex.org/W4285018765","https://openalex.org/W4391294956"],"abstract_inverted_index":{"In":[0],"the":[1,52,78,99,102,128,146,149],"pursuit":[2],"of":[3,18,27,42,54,60],"energy":[4,25,40],"net":[5],"zero":[6],"within":[7],"smart":[8],"cities,":[9],"transportation":[10],"electrification":[11],"plays":[12],"a":[13,80,110,138,160],"pivotal":[14],"role.":[15],"The":[16],"adoption":[17],"Electric":[19],"Vehicles":[20],"(EVs)":[21],"keeps":[22],"increasing,":[23],"making":[24],"management":[26,57],"EV":[28,43,55,103,154,180],"charging":[29,44,56,66,104,155,181,185],"stations":[30],"critically":[31],"important.":[32],"While":[33],"previous":[34],"studies":[35],"have":[36],"managed":[37],"to":[38,92,131,152],"reduce":[39],"cost":[41],"while":[45],"maintaining":[46],"grid":[47],"stability,":[48],"they":[49],"often":[50],"overlook":[51],"robustness":[53],"against":[58,170],"uncertainties":[59,172],"various":[61],"forms,":[62],"such":[63],"as":[64],"varying":[65],"behaviors":[67],"and":[68,96,173,175,183],"possible":[69],"faults":[70,72,116,174],"in":[71,73,101,109,127,148,178],"some":[74],"chargers.":[75],"To":[76],"address":[77],"gap,":[79],"novel":[81],"Multi-Agent":[82],"Reinforcement":[83],"Learning":[84],"(MARL)":[85],"approach":[86,167],"is":[87,125,142,168],"proposed":[88],"treating":[89],"each":[90],"charger":[91],"be":[93],"an":[94],"agent":[95],"coordinate":[97],"all":[98],"agents":[100,147],"station":[105],"with":[106],"solar":[107],"photovoltaics":[108],"more":[111],"realistic":[112],"scenario,":[113],"where":[114],"system":[115,171],"may":[117],"occur.":[118],"A":[119],"Long":[120],"Short-Term":[121],"Memory":[122],"(LSTM)":[123],"network":[124],"incorporated":[126],"MARL":[129,150],"algorithm":[130,151],"extract":[132],"temporal":[133],"features":[134],"from":[135],"time-series.":[136],"Additionally,":[137],"dense":[139],"reward":[140],"mechanism":[141],"designed":[143],"for":[144],"training":[145],"improve":[153],"experience.":[156],"Through":[157],"validation":[158],"on":[159],"real-world":[161],"dataset,":[162],"we":[163],"show":[164],"that":[165],"our":[166],"robust":[169],"also":[176],"effective":[177],"minimizing":[179],"costs":[182],"maximizing":[184],"service":[186],"satisfaction.":[187]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1}],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2025-10-10T00:00:00"}