{"id":"https://openalex.org/W4413392717","doi":"https://doi.org/10.23919/acc63710.2025.11108003","title":"Demand Forecasting for Electric Vehicle Charging Stations using Multivariate Time-Series Analysis","display_name":"Demand Forecasting for Electric Vehicle Charging Stations using Multivariate Time-Series Analysis","publication_year":2025,"publication_date":"2025-07-08","ids":{"openalex":"https://openalex.org/W4413392717","doi":"https://doi.org/10.23919/acc63710.2025.11108003"},"language":"en","primary_location":{"id":"doi:10.23919/acc63710.2025.11108003","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc63710.2025.11108003","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 American Control Conference (ACC)","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/A5092489718","display_name":"Saba Sanami","orcid":null},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Saba Sanami","raw_affiliation_strings":["Concordia Univerity,Department of Electrical and Computer Engineering,Montreal,Canada"],"affiliations":[{"raw_affiliation_string":"Concordia Univerity,Department of Electrical and Computer Engineering,Montreal,Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092796541","display_name":"Hesam Mosalli","orcid":null},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Hesam Mosalli","raw_affiliation_strings":["Concordia Univerity,Department of Electrical and Computer Engineering,Montreal,Canada"],"affiliations":[{"raw_affiliation_string":"Concordia Univerity,Department of Electrical and Computer Engineering,Montreal,Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100747990","display_name":"Yang Yu","orcid":"https://orcid.org/0000-0003-0456-7138"},"institutions":[{"id":"https://openalex.org/I59897056","display_name":"California State University, Long Beach","ror":"https://ror.org/0080fxk18","country_code":"US","type":"education","lineage":["https://openalex.org/I59897056"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Yang","raw_affiliation_strings":["California State University Long Beach,Department of Chemical Engineering"],"affiliations":[{"raw_affiliation_string":"California State University Long Beach,Department of Chemical Engineering","institution_ids":["https://openalex.org/I59897056"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060723577","display_name":"Hen\u2010Geul Yeh","orcid":"https://orcid.org/0000-0001-9209-3109"},"institutions":[{"id":"https://openalex.org/I59897056","display_name":"California State University, Long Beach","ror":"https://ror.org/0080fxk18","country_code":"US","type":"education","lineage":["https://openalex.org/I59897056"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hen-Geul Yeh","raw_affiliation_strings":["California State University Long Beach,Department of Electrical Engineering"],"affiliations":[{"raw_affiliation_string":"California State University Long Beach,Department of Electrical Engineering","institution_ids":["https://openalex.org/I59897056"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023864111","display_name":"Amir G. Aghdam","orcid":"https://orcid.org/0000-0001-5180-0508"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Amir G. Aghdam","raw_affiliation_strings":["Concordia Univerity,Department of Electrical and Computer Engineering,Montreal,Canada"],"affiliations":[{"raw_affiliation_string":"Concordia Univerity,Department of Electrical and Computer Engineering,Montreal,Canada","institution_ids":["https://openalex.org/I60158472"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5092489718"],"corresponding_institution_ids":["https://openalex.org/I60158472"],"apc_list":null,"apc_paid":null,"fwci":4.8356,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.95280356,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3461","last_page":"3466"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10768","display_name":"Electric Vehicles and Infrastructure","score":0.9485999941825867,"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":0.9485999941825867,"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/T14156","display_name":"Engineering Applied Research","score":0.9160000085830688,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/time-series","display_name":"Time series","score":0.7180305123329163},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.5819651484489441},{"id":"https://openalex.org/keywords/electric-vehicle","display_name":"Electric vehicle","score":0.5736063122749329},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5666745901107788},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5618006587028503},{"id":"https://openalex.org/keywords/demand-forecasting","display_name":"Demand forecasting","score":0.4609681963920593},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.25579309463500977},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.184878408908844},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14541977643966675},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.06229308247566223},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.06155171990394592}],"concepts":[{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.7180305123329163},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.5819651484489441},{"id":"https://openalex.org/C2776422217","wikidata":"https://www.wikidata.org/wiki/Q13629441","display_name":"Electric vehicle","level":3,"score":0.5736063122749329},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5666745901107788},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5618006587028503},{"id":"https://openalex.org/C193809577","wikidata":"https://www.wikidata.org/wiki/Q3409300","display_name":"Demand forecasting","level":2,"score":0.4609681963920593},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.25579309463500977},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.184878408908844},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14541977643966675},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.06229308247566223},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.06155171990394592},{"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/acc63710.2025.11108003","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc63710.2025.11108003","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 American Control Conference (ACC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2038685968","https://openalex.org/W2212613884","https://openalex.org/W2466975708","https://openalex.org/W2625269767","https://openalex.org/W2900864270","https://openalex.org/W2944851425","https://openalex.org/W2962444989","https://openalex.org/W3132665469","https://openalex.org/W3169440932","https://openalex.org/W3207987115","https://openalex.org/W4206647748","https://openalex.org/W4225769574","https://openalex.org/W4226108798","https://openalex.org/W4308440266","https://openalex.org/W4362716336","https://openalex.org/W4382204597","https://openalex.org/W4399729007","https://openalex.org/W4399940736","https://openalex.org/W4400135851","https://openalex.org/W4410887455"],"related_works":["https://openalex.org/W2406638334","https://openalex.org/W1991765889","https://openalex.org/W1990068454","https://openalex.org/W2472172556","https://openalex.org/W1919101720","https://openalex.org/W1570805059","https://openalex.org/W2119012848","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660"],"abstract_inverted_index":{"As":[0],"the":[1,10,48,55,71,79,85,92,106,112,128,136,141],"number":[2],"of":[3,31,81,91,108,127],"electric":[4],"vehicles":[5],"(EVs)":[6],"continues":[7],"to":[8,19,46,77,104,111],"grow,":[9],"demand":[11,34,50],"for":[12,37,54],"charging":[13,33,49,143],"stations":[14,144],"is":[15,35,102,131],"also":[16],"increasing,":[17],"leading":[18],"challenges":[20],"such":[21],"as":[22],"long":[23,61],"waiting":[24],"times":[25],"and":[26,95],"insufficient":[27],"infrastructure.":[28],"High-precision":[29],"forecasting":[30],"EV":[32,142],"crucial":[36],"efficient":[38],"station":[39],"management.":[40],"This":[41],"paper":[42],"presents":[43],"an":[44,67],"approach":[45],"predict":[47],"at":[51,145],"15-minute":[52],"intervals":[53],"day":[56,90],"ahead":[57],"using":[58,135],"a":[59],"multivariate":[60],"short-term":[62],"memory":[63],"(LSTM)":[64],"network":[65],"with":[66],"attention":[68],"mechanism.":[69],"Additionally,":[70],"model":[72],"leverages":[73],"explainable":[74],"AI":[75],"techniques":[76],"evaluate":[78],"influence":[80],"various":[82],"factors":[83,121],"on":[84],"predictions,":[86],"including":[87],"weather":[88],"conditions,":[89],"week,":[93],"month,":[94],"any":[96],"holiday.":[97],"Shapley":[98],"additive":[99],"explanation":[100],"(SHAP)":[101],"used":[103],"quantify":[105],"contribution":[107],"each":[109],"feature":[110],"final":[113],"forecast,":[114],"providing":[115],"deeper":[116],"insights":[117],"into":[118],"how":[119],"these":[120],"affect":[122],"prediction":[123],"accuracy.":[124],"The":[125],"efficacy":[126],"proposed":[129],"method":[130],"demonstrated":[132],"by":[133],"simulations":[134],"test":[137],"data":[138],"collected":[139],"from":[140],"California":[146],"State":[147],"University,":[148],"Long":[149],"Beach.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}