{"id":"https://openalex.org/W4406266976","doi":"https://doi.org/10.1109/vtc2024-fall63153.2024.10756801","title":"Power Scheduling and Cost Optimization of a Grid Integrated PV and BESS Fast Charging using SARSA Reinforcement Learning","display_name":"Power Scheduling and Cost Optimization of a Grid Integrated PV and BESS Fast Charging using SARSA Reinforcement Learning","publication_year":2024,"publication_date":"2024-10-07","ids":{"openalex":"https://openalex.org/W4406266976","doi":"https://doi.org/10.1109/vtc2024-fall63153.2024.10756801"},"language":"en","primary_location":{"id":"doi:10.1109/vtc2024-fall63153.2024.10756801","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2024-fall63153.2024.10756801","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5043405486","display_name":"Arifa Sultana","orcid":"https://orcid.org/0000-0002-5855-8731"},"institutions":[{"id":"https://openalex.org/I121980950","display_name":"Utah State University","ror":"https://ror.org/00h6set76","country_code":"US","type":"education","lineage":["https://openalex.org/I121980950"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arifa Sultana","raw_affiliation_strings":["Utah State University,Department of Electrical and Computer Engineering,Logan,UT,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Utah State University,Department of Electrical and Computer Engineering,Logan,UT,USA","institution_ids":["https://openalex.org/I121980950"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101920794","display_name":"Xiang Ma","orcid":"https://orcid.org/0000-0003-0401-7101"},"institutions":[{"id":"https://openalex.org/I121980950","display_name":"Utah State University","ror":"https://ror.org/00h6set76","country_code":"US","type":"education","lineage":["https://openalex.org/I121980950"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiang Ma","raw_affiliation_strings":["Utah State University,Department of Electrical and Computer Engineering,Logan,UT,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Utah State University,Department of Electrical and Computer Engineering,Logan,UT,USA","institution_ids":["https://openalex.org/I121980950"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057118326","display_name":"Rose Qingyang Hu","orcid":"https://orcid.org/0000-0002-1571-3631"},"institutions":[{"id":"https://openalex.org/I121980950","display_name":"Utah State University","ror":"https://ror.org/00h6set76","country_code":"US","type":"education","lineage":["https://openalex.org/I121980950"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rose Qingyang Hu","raw_affiliation_strings":["Utah State University,Department of Electrical and Computer Engineering,Logan,UT,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Utah State University,Department of Electrical and Computer Engineering,Logan,UT,USA","institution_ids":["https://openalex.org/I121980950"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100409402","display_name":"Hongjie Wang","orcid":"https://orcid.org/0000-0002-0162-7812"},"institutions":[{"id":"https://openalex.org/I121980950","display_name":"Utah State University","ror":"https://ror.org/00h6set76","country_code":"US","type":"education","lineage":["https://openalex.org/I121980950"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongjie Wang","raw_affiliation_strings":["Utah State University,Department of Electrical and Computer Engineering,Logan,UT,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Utah State University,Department of Electrical and Computer Engineering,Logan,UT,USA","institution_ids":["https://openalex.org/I121980950"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I121980950"],"apc_list":null,"apc_paid":null,"fwci":2.7813,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.91804592,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"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/T10603","display_name":"Smart Grid Energy Management","score":0.9735000133514404,"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/T10603","display_name":"Smart Grid Energy Management","score":0.9735000133514404,"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/T10468","display_name":"Photovoltaic System Optimization Techniques","score":0.954800009727478,"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/T14444","display_name":"Power Systems and Renewable Energy","score":0.9204999804496765,"subfield":{"id":"https://openalex.org/subfields/2102","display_name":"Energy Engineering and Power Technology"},"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.6885747313499451},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6371471881866455},{"id":"https://openalex.org/keywords/photovoltaic-system","display_name":"Photovoltaic system","score":0.5689411759376526},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5355377793312073},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5261354446411133},{"id":"https://openalex.org/keywords/power-grid","display_name":"Power grid","score":0.4695345163345337},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4373754560947418},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.33055877685546875},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24135228991508484},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.1784701943397522},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.166297048330307},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1373136043548584}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6885747313499451},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6371471881866455},{"id":"https://openalex.org/C41291067","wikidata":"https://www.wikidata.org/wiki/Q1897785","display_name":"Photovoltaic system","level":2,"score":0.5689411759376526},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5355377793312073},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5261354446411133},{"id":"https://openalex.org/C2983254600","wikidata":"https://www.wikidata.org/wiki/Q1096907","display_name":"Power grid","level":3,"score":0.4695345163345337},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4373754560947418},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.33055877685546875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24135228991508484},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.1784701943397522},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.166297048330307},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1373136043548584},{"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},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtc2024-fall63153.2024.10756801","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2024-fall63153.2024.10756801","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.4399999976158142,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320317283","display_name":"Engineering Research Centers","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4306904969","https://openalex.org/W2386968573","https://openalex.org/W2395064349","https://openalex.org/W2138720691","https://openalex.org/W4362501864","https://openalex.org/W2034374297","https://openalex.org/W4380318855","https://openalex.org/W3084456289","https://openalex.org/W2024136090","https://openalex.org/W4391331176"],"abstract_inverted_index":{"The":[0,119,156],"global":[1],"surge":[2],"in":[3,72,116],"electric":[4],"vehicle":[5],"(EV)":[6],"adoption":[7],"demands":[8],"a":[9,73,122,145],"corresponding":[10],"expansion":[11],"of":[12,61,81,113],"smart":[13],"EV":[14,22,25,31,83,135,139],"charging":[15,26,32,54,84,136],"stations,":[16],"leveraging":[17],"intelligent":[18],"management":[19,27],"for":[20,69,87,94,128],"efficient":[21],"charging.":[23,89],"Intelligent":[24],"can":[28],"efficiently":[29],"control":[30],"scheduling":[33,71,110],"and":[34,45,79,111,134],"power":[35,40,70,105,114,130,174],"flow":[36,115],"among":[37],"the":[38,59,62,101,109,153,161,170],"electrical":[39],"grid,":[41],"renewable":[42],"energy":[43,47],"sources,":[44],"battery":[46],"storage":[48],"systems":[49],"(BESS)":[50],"to":[51,98,151],"achieve":[52],"minimized":[53],"costs.":[55],"This":[56],"paper":[57],"proposes":[58],"use":[60],"State-Action-Reward-State-Action":[63],"(SARSA)":[64],"reinforcement":[65],"learning":[66],"(RL)":[67],"algorithm":[68,164],"grid-tied":[74],"model":[75],"integrating":[76],"photovoltaics":[77],"(PV)":[78],"BESS":[80],"an":[82],"station,":[85],"specifically":[86],"fast":[88],"SARSA":[90,162],"RL":[91,163],"is":[92,149],"selected":[93],"its":[95],"significant":[96],"potential":[97],"effectively":[99],"manage":[100],"complexities":[102],"associated":[103,172],"with":[104,173],"scheduling,":[106],"thus":[107],"facilitating":[108],"optimization":[112,154],"this":[117],"scenario.":[118],"system":[120],"employs":[121],"day-ahead":[123],"planning":[124],"approach,":[125],"adopting":[126],"forecasts":[127],"solar":[129],"generation,":[131],"grid":[132],"tariff,":[133],"demand":[137],"as":[138],"load":[140],"consumption":[141],"predictions.":[142],"In":[143],"addition,":[144],"Markov":[146],"decision":[147],"process":[148],"used":[150],"formulate":[152],"problem.":[155],"simulation":[157],"results":[158],"conclude":[159],"that":[160],"achieves":[165],"good":[166],"rewards":[167],"by":[168],"minimizing":[169],"cost":[171],"scheduling.":[175]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}