{"id":"https://openalex.org/W4396681126","doi":"https://doi.org/10.5220/0012555400003702","title":"Large-Scale Forecasting of Electric Vehicle Charging Demand Using Global Time Series Modeling","display_name":"Large-Scale Forecasting of Electric Vehicle Charging Demand Using Global Time Series Modeling","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4396681126","doi":"https://doi.org/10.5220/0012555400003702"},"language":"en","primary_location":{"id":"doi:10.5220/0012555400003702","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0012555400003702","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Conference on Vehicle Technology and Intelligent Transport Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0012555400003702","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5096521941","display_name":"Tijmen van Etten","orcid":null},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]},{"id":"https://openalex.org/I7923278","display_name":"Shell (Netherlands)","ror":"https://ror.org/00b5m4j81","country_code":"NL","type":"company","lineage":["https://openalex.org/I7923278"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Tijmen van Etten","raw_affiliation_strings":["Shell Information Technology International B.V., Amsterdam, The Netherlands, --- Select a Country ---","University of Amsterdam, Science Park, Amsterdam, The Netherlands, --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shell Information Technology International B.V., Amsterdam, The Netherlands, --- Select a Country ---","institution_ids":["https://openalex.org/I7923278"]},{"raw_affiliation_string":"University of Amsterdam, Science Park, Amsterdam, The Netherlands, --- Select a Country ---","institution_ids":["https://openalex.org/I887064364"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030949796","display_name":"Viktoriya Degeler","orcid":"https://orcid.org/0000-0001-7054-3770"},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Victoria Degeler","raw_affiliation_strings":["University of Amsterdam, Science Park, Amsterdam, The Netherlands, --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Amsterdam, Science Park, Amsterdam, The Netherlands, --- Select a Country ---","institution_ids":["https://openalex.org/I887064364"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100548886","display_name":"Ding Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I7923278","display_name":"Shell (Netherlands)","ror":"https://ror.org/00b5m4j81","country_code":"NL","type":"company","lineage":["https://openalex.org/I7923278"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Ding Luo","raw_affiliation_strings":["Shell Information Technology International B.V., Amsterdam, The Netherlands, --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shell Information Technology International B.V., Amsterdam, The Netherlands, --- Select a Country ---","institution_ids":["https://openalex.org/I7923278"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5096521941"],"corresponding_institution_ids":["https://openalex.org/I7923278","https://openalex.org/I887064364"],"apc_list":null,"apc_paid":null,"fwci":0.5827,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.65247539,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"40","last_page":"51"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10768","display_name":"Electric Vehicles and Infrastructure","score":0.9957000017166138,"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":0.9957000017166138,"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/T12617","display_name":"Energy, Environment, and Transportation Policies","score":0.9733999967575073,"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/T10663","display_name":"Advanced Battery Technologies Research","score":0.9441999793052673,"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/time-series","display_name":"Time series","score":0.6448377370834351},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6427277326583862},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6255611777305603},{"id":"https://openalex.org/keywords/electric-vehicle","display_name":"Electric vehicle","score":0.5341218113899231},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5332939624786377},{"id":"https://openalex.org/keywords/demand-forecasting","display_name":"Demand forecasting","score":0.47232502698898315},{"id":"https://openalex.org/keywords/industrial-engineering","display_name":"Industrial engineering","score":0.40461474657058716},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3443017601966858},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.278559148311615},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1879355013370514},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.11698725819587708},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.09743648767471313},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0689191222190857},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.06410223245620728}],"concepts":[{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.6448377370834351},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6427277326583862},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6255611777305603},{"id":"https://openalex.org/C2776422217","wikidata":"https://www.wikidata.org/wiki/Q13629441","display_name":"Electric vehicle","level":3,"score":0.5341218113899231},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5332939624786377},{"id":"https://openalex.org/C193809577","wikidata":"https://www.wikidata.org/wiki/Q3409300","display_name":"Demand forecasting","level":2,"score":0.47232502698898315},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.40461474657058716},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3443017601966858},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.278559148311615},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1879355013370514},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.11698725819587708},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.09743648767471313},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0689191222190857},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.06410223245620728},{"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},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.5220/0012555400003702","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0012555400003702","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Conference on Vehicle Technology and Intelligent Transport Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:dare.uva.nl:openaire_cris_publications/0ebe0dc9-03be-4242-a361-093ae93a0ec9","is_oa":false,"landing_page_url":"https://handle.uba.uva.nl/personal/pure/en/publications/largescale-forecasting-of-electric-vehicle-charging-demand-using-global-time-series-modeling(0ebe0dc9-03be-4242-a361-093ae93a0ec9).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"van Etten, T, Degeler, V & Luo, D 2024, Large-Scale Forecasting of Electric Vehicle Charging Demand Using Global Time Series Modeling. in A Vinel, K Berns, J Ploeg & O Gusikhin (eds), VEHITS 2024 : proceedings of the 10th International Conference on Vehicle Technology and Intelligent Transport Systems : 2-4 May, 2024, Angers, France. Setu\u0301bal, pp. 40-51, 10th International Conference on Vehicle Technology and Intelligent Transport Systems, Angers, France, 2/05/24. https://doi.org/10.5220/0012555400003702","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:dare.uva.nl:openaire/0ebe0dc9-03be-4242-a361-093ae93a0ec9","is_oa":false,"landing_page_url":"https://hdl.handle.net/11245.1/0ebe0dc9-03be-4242-a361-093ae93a0ec9","pdf_url":null,"source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"van Etten, T, Degeler, V & Luo, D 2024, Large-Scale Forecasting of Electric Vehicle Charging Demand Using Global Time Series Modeling. in A Vinel, K Berns, J Ploeg & O Gusikhin (eds), VEHITS 2024 : proceedings of the 10th International Conference on Vehicle Technology and Intelligent Transport Systems : 2-4 May, 2024, Angers, France. Setu\u0301bal, pp. 40-51, 10th International Conference on Vehicle Technology and Intelligent Transport Systems, Angers, France, 2/05/24. https://doi.org/10.5220/0012555400003702","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.5220/0012555400003702","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0012555400003702","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Conference on Vehicle Technology and Intelligent Transport Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1919101720","https://openalex.org/W4390822878","https://openalex.org/W96888382","https://openalex.org/W4386126592","https://openalex.org/W2041308758","https://openalex.org/W4392529072","https://openalex.org/W2119012848","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660"],"abstract_inverted_index":{"Electric":[0],"Vehicle":[1],"(EV)":[2],"charging":[3,24,30,88,111,158,176],"demand":[4,25,40,89,154,177],"forecasting":[5,38,65,90,118,153],"holds":[6],"paramount":[7],"significance":[8,182],"in":[9,86,152,183],"advancing":[10],"sustainable":[11,198],"transportation":[12,191],"systems,":[13,192],"particularly":[14],"as":[15],"electric":[16,188],"vehicle":[17],"adoption":[18],"surges":[19],"globally.":[20],"Accurate":[21],"predictions":[22],"of":[23,61,70,117,125,162,173,187],"are":[26,91],"instrumental":[27],"for":[28,41,50,58,98,109],"optimizing":[29],"infrastructure,":[31],"energy":[32,72,199],"management,":[33],"and":[34,54,79,93,168],"grid":[35],"stability.":[36],"By":[37],"the":[39,59,67,171,185,195],"charging,":[42],"stakeholders":[43],"can":[44],"effectively":[45],"distribute":[46],"resources,":[47],"plan":[48],"ahead":[49],"peak":[51],"usage":[52],"times,":[53],"lay":[55],"out":[56],"blueprints":[57],"growth":[60],"infrastructure.":[62],"Furthermore,":[63],"precise":[64],"enables":[66],"seamless":[68],"integration":[69,186],"renewable":[71],"sources":[73],"into":[74,190],"transportation,":[75],"promoting":[76],"a":[77,114],"cleaner":[78],"greener":[80],"future.":[81],"In":[82],"this":[83,163],"work,":[84],"challenges":[85],"EV":[87,175],"addressed,":[92],"an":[94],"innovative":[95],"framework":[96],"tailored":[97],"large-scale":[99],"prediction":[100,132],"is":[101,141],"proposed.":[102],"The":[103,123,160],"methodology":[104],"involves":[105],"generating":[106],"individual":[107],"forecasts":[108],"multiple":[110],"stations,":[112],"enabling":[113],"comprehensive":[115],"evaluation":[116],"models":[119,129,144],"across":[120,138],"diverse":[121],"contexts.":[122],"potential":[124],"global":[126],"deep":[127],"learning":[128],"to":[130],"enhance":[131],"accuracy":[133],"by":[134],"capturing":[135],"shared":[136],"patterns":[137],"time":[139],"series":[140],"explored.":[142],"These":[143],"exhibit":[145],"remarkable":[146],"generalization":[147],"capabilities,":[148],"proving":[149],"effective":[150],"even":[151],"at":[155],"previously":[156],"unobserved":[157],"stations.":[159],"contributions":[161],"research":[164],"encompass":[165],"both":[166],"methodologies":[167],"insights,":[169],"enriching":[170],"realm":[172],"accurate":[174],"forecasting.":[178],"This":[179],"work":[180],"bears":[181],"fostering":[184],"vehicles":[189],"aligning":[193],"with":[194],"trajectory":[196],"towards":[197],"solutions.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-05-14T08:36:36.166977","created_date":"2025-10-10T00:00:00"}
