{"id":"https://openalex.org/W4315630877","doi":"https://doi.org/10.1109/access.2023.3235952","title":"User Behavior Clustering Based Method for EV Charging Forecast","display_name":"User Behavior Clustering Based Method for EV Charging Forecast","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4315630877","doi":"https://doi.org/10.1109/access.2023.3235952"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3235952","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3235952","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10014991.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10014991.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046053095","display_name":"Alfredo Nespoli","orcid":"https://orcid.org/0000-0002-1300-556X"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alfredo Nespoli","raw_affiliation_strings":["Dipartimento di Energia, Politecnico di Milano, Milan, Italy"],"raw_orcid":"https://orcid.org/0000-0002-1300-556X","affiliations":[{"raw_affiliation_string":"Dipartimento di Energia, Politecnico di Milano, Milan, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000320100","display_name":"Emanu\u00e8le Ogliari","orcid":"https://orcid.org/0000-0002-2106-0374"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Emanuele Ogliari","raw_affiliation_strings":["Dipartimento di Energia, Politecnico di Milano, Milan, Italy"],"raw_orcid":"https://orcid.org/0000-0002-2106-0374","affiliations":[{"raw_affiliation_string":"Dipartimento di Energia, Politecnico di Milano, Milan, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027017319","display_name":"Sonia Leva","orcid":"https://orcid.org/0000-0002-7883-0034"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Sonia Leva","raw_affiliation_strings":["Dipartimento di Energia, Politecnico di Milano, Milan, Italy"],"raw_orcid":"https://orcid.org/0000-0002-7883-0034","affiliations":[{"raw_affiliation_string":"Dipartimento di Energia, Politecnico di Milano, Milan, Italy","institution_ids":["https://openalex.org/I93860229"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I93860229"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":5.0322,"has_fulltext":true,"cited_by_count":60,"citation_normalized_percentile":{"value":0.96600274,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"11","issue":null,"first_page":"6273","last_page":"6283"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10768","display_name":"Electric Vehicles and Infrastructure","score":1.0,"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":1.0,"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/T10663","display_name":"Advanced Battery Technologies Research","score":0.9998000264167786,"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":0.9965000152587891,"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/benchmark","display_name":"Benchmark (surveying)","score":0.739209771156311},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.724275529384613},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.713422417640686},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.6722398996353149},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5263886451721191},{"id":"https://openalex.org/keywords/charging-station","display_name":"Charging station","score":0.510532021522522},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4953566789627075},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.4781407117843628},{"id":"https://openalex.org/keywords/electric-vehicle","display_name":"Electric vehicle","score":0.4667067527770996},{"id":"https://openalex.org/keywords/duration","display_name":"Duration (music)","score":0.44251346588134766},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3707205057144165},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.36498111486434937},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3587474226951599},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34721216559410095},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2021232545375824},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11729428172111511}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.739209771156311},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.724275529384613},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.713422417640686},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.6722398996353149},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5263886451721191},{"id":"https://openalex.org/C2779607880","wikidata":"https://www.wikidata.org/wiki/Q2140665","display_name":"Charging station","level":4,"score":0.510532021522522},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4953566789627075},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.4781407117843628},{"id":"https://openalex.org/C2776422217","wikidata":"https://www.wikidata.org/wiki/Q13629441","display_name":"Electric vehicle","level":3,"score":0.4667067527770996},{"id":"https://openalex.org/C112758219","wikidata":"https://www.wikidata.org/wiki/Q16038819","display_name":"Duration (music)","level":2,"score":0.44251346588134766},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3707205057144165},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.36498111486434937},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3587474226951599},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34721216559410095},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2021232545375824},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11729428172111511},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2023.3235952","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3235952","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10014991.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:re.public.polimi.it:11311/1229608","is_oa":true,"landing_page_url":"https://hdl.handle.net/11311/1229608","pdf_url":"https://re.public.polimi.it/bitstream/11311/1229608/1/User_Behavior_Clustering_Based_Method_for_EV_Charging_Forecast.pdf","source":{"id":"https://openalex.org/S4306400312","display_name":"Virtual Community of Pathological Anatomy (University of Castilla La Mancha)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79189158","host_organization_name":"University of Castilla-La Mancha","host_organization_lineage":["https://openalex.org/I79189158"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:e1d53f962d944c5ea1e133cd8f0974ac","is_oa":true,"landing_page_url":"https://doaj.org/article/e1d53f962d944c5ea1e133cd8f0974ac","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 6273-6283 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3235952","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3235952","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10014991.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.6100000143051147,"display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G3478515953","display_name":null,"funder_award_id":"CN00000023","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8829736464","display_name":null,"funder_award_id":"1033 17/06/2022","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4315630877.pdf","grobid_xml":"https://content.openalex.org/works/W4315630877.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1673310716","https://openalex.org/W2014533616","https://openalex.org/W2072193572","https://openalex.org/W2112161356","https://openalex.org/W2160642098","https://openalex.org/W2537150355","https://openalex.org/W2905694822","https://openalex.org/W2941906448","https://openalex.org/W2952348579","https://openalex.org/W2962444989","https://openalex.org/W2971407673","https://openalex.org/W2981648661","https://openalex.org/W2988486362","https://openalex.org/W3004303155","https://openalex.org/W3128608971","https://openalex.org/W3157460577","https://openalex.org/W3187730222","https://openalex.org/W3191031420","https://openalex.org/W3196178504","https://openalex.org/W4213251304","https://openalex.org/W4248582375","https://openalex.org/W4297237281","https://openalex.org/W6637131181"],"related_works":["https://openalex.org/W2981497404","https://openalex.org/W2362149433","https://openalex.org/W4378211444","https://openalex.org/W2156399915","https://openalex.org/W2084958424","https://openalex.org/W2986711310","https://openalex.org/W3203839526","https://openalex.org/W4310614479","https://openalex.org/W4390190385","https://openalex.org/W2040882490"],"abstract_inverted_index":{"The":[0,114,126,158],"increasing":[1],"adoption":[2],"of":[3,23,38,53,62,75,97,145,155],"electric":[4,18,54],"vehicles":[5],"poses":[6],"new":[7],"problems":[8],"for":[9,26,167],"the":[10,36,39,57,63,73,100,103,107,112,129,134,139,149,152,168],"electrical":[11],"distribution":[12],"network.":[13],"For":[14],"this":[15],"reason,":[16],"proper":[17],"vehicle":[19,55],"forecasting":[20],"will":[21],"be":[22],"fundamental":[24],"importance":[25],"a":[27,44,95,122],"predictive":[28],"energy":[29,60,146],"management":[30],"system,":[31],"which":[32],"could":[33],"greatly":[34,132],"help":[35],"operation":[37],"grid.":[40],"This":[41],"paper":[42],"proposes":[43],"comprehensive":[45],"novel":[46],"methodology":[47],"to":[48,131,138],"forecast":[49,61],"single":[50],"charging":[51,64,67,90,104,156],"sessions":[52,68],"and":[56,79,106,151],"resulting":[58],"cumulative":[59],"infrastructure.":[65],"Historical":[66],"are":[69,85],"first":[70],"clustered":[71],"on":[72],"basis":[74],"similar":[76],"user":[77],"characteristics":[78],"their":[80],"respective":[81],"probability":[82],"density":[83],"functions":[84],"defined.":[86],"From":[87],"this,":[88],"every":[89],"session":[91],"is":[92,165],"predicted":[93,153],"with":[94,136],"triplet":[96],"parameters,":[98],"namely":[99],"arrival":[101],"time,":[102],"duration":[105],"average":[108],"power":[109],"expected":[110],"during":[111],"process.":[113],"proposed":[115],"method":[116],"has":[117],"been":[118],"evaluated":[119],"by":[120,148,162],"considering":[121],"real":[123],"case":[124],"study.":[125],"results":[127],"showed":[128],"ability":[130],"improve":[133],"accuracy":[135],"respect":[137],"chosen":[140],"benchmark,":[141],"both":[142],"in":[143],"terms":[144],"required":[147],"station":[150],"number":[154],"sessions.":[157],"overall":[159],"performance":[160],"measured":[161],"Skill":[163],"Score":[164],"0.37":[166],"year":[169],"2019.":[170]},"counts_by_year":[{"year":2026,"cited_by_count":14},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":9}],"updated_date":"2026-07-21T08:15:58.654021","created_date":"2025-10-10T00:00:00"}