{"id":"https://openalex.org/W3097350428","doi":"https://doi.org/10.1109/isc251055.2020.9239052","title":"Discovering EV Recharging Patterns through an Automated Analytical Workflow","display_name":"Discovering EV Recharging Patterns through an Automated Analytical Workflow","publication_year":2020,"publication_date":"2020-09-28","ids":{"openalex":"https://openalex.org/W3097350428","doi":"https://doi.org/10.1109/isc251055.2020.9239052","mag":"3097350428"},"language":"en","primary_location":{"id":"doi:10.1109/isc251055.2020.9239052","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isc251055.2020.9239052","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Smart Cities Conference (ISC2)","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/A5073058676","display_name":"Ren\u00e9 Richard","orcid":"https://orcid.org/0000-0002-1342-6225"},"institutions":[{"id":"https://openalex.org/I106938459","display_name":"University of New Brunswick","ror":"https://ror.org/05nkf0n29","country_code":"CA","type":"education","lineage":["https://openalex.org/I106938459"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Rene Richard","raw_affiliation_strings":["Digital Technologies Research Centre, National Research Council of Canada, Fredericton, Canada","People in Motion Lab, University of New Brunswick, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Digital Technologies Research Centre, National Research Council of Canada, Fredericton, Canada","institution_ids":[]},{"raw_affiliation_string":"People in Motion Lab, University of New Brunswick, Canada","institution_ids":["https://openalex.org/I106938459"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088383217","display_name":"Hung Cao","orcid":"https://orcid.org/0000-0002-0788-4377"},"institutions":[{"id":"https://openalex.org/I106938459","display_name":"University of New Brunswick","ror":"https://ror.org/05nkf0n29","country_code":"CA","type":"education","lineage":["https://openalex.org/I106938459"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Hung Cao","raw_affiliation_strings":["People in Motion Lab, University of New Brunswick, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"People in Motion Lab, University of New Brunswick, Canada","institution_ids":["https://openalex.org/I106938459"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068240080","display_name":"M\u00f3nica Wachowicz","orcid":"https://orcid.org/0000-0002-4659-0101"},"institutions":[{"id":"https://openalex.org/I106938459","display_name":"University of New Brunswick","ror":"https://ror.org/05nkf0n29","country_code":"CA","type":"education","lineage":["https://openalex.org/I106938459"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Monica Wachowicz","raw_affiliation_strings":["People in Motion Lab, University of New Brunswick, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"People in Motion Lab, University of New Brunswick, Canada","institution_ids":["https://openalex.org/I106938459"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2081,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.52801405,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10768","display_name":"Electric Vehicles and Infrastructure","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9997000098228455,"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/T13553","display_name":"Age of Information Optimization","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.779002845287323},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6730506420135498},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.648817777633667},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.524389922618866},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.521044909954071},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.44351568818092346},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.42171066999435425},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3265388011932373},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20422860980033875},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.17162355780601501},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1465122401714325}],"concepts":[{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.779002845287323},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6730506420135498},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.648817777633667},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.524389922618866},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.521044909954071},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.44351568818092346},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.42171066999435425},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3265388011932373},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20422860980033875},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.17162355780601501},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1465122401714325},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isc251055.2020.9239052","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isc251055.2020.9239052","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Smart Cities Conference (ISC2)","raw_type":"proceedings-article"},{"id":"pmh:oai:cisti-icist.nrc-cnrc.ca:cistinparc:21c1efe5-ce79-4034-8a15-90ec0a9a5524","is_oa":false,"landing_page_url":"https://nrc-publications.canada.ca/eng/view/object/?id=21c1efe5-ce79-4034-8a15-90ec0a9a5524","pdf_url":null,"source":{"id":"https://openalex.org/S7407055245","display_name":"NPARC","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":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1574680346","https://openalex.org/W2085487226","https://openalex.org/W2189465200","https://openalex.org/W2797656660","https://openalex.org/W2909694015","https://openalex.org/W2945393308","https://openalex.org/W2968628173","https://openalex.org/W2998514921","https://openalex.org/W6687322159"],"related_works":["https://openalex.org/W1981780420","https://openalex.org/W2182707996","https://openalex.org/W45233828","https://openalex.org/W2964988449","https://openalex.org/W2397952901","https://openalex.org/W2029380707","https://openalex.org/W188202134","https://openalex.org/W4255934811","https://openalex.org/W2465382974","https://openalex.org/W3200375535"],"abstract_inverted_index":{"The":[0,104],"vision":[1],"for":[2,18,70],"smart":[3],"cities":[4],"is":[5,67,107,143],"to":[6,39,89,108,112,120],"provide":[7],"a":[8,13,93,110],"core":[9],"infrastructure":[10,73],"that":[11],"enables":[12],"good":[14],"quality":[15],"of":[16,25,34,63,96,157],"life":[17],"their":[19],"citizens":[20],"and":[21,45,59,75,119,135,154],"the":[22,32,115],"sustainable":[23,43],"management":[24],"natural":[26],"resources.":[27],"Towards":[28,79],"this":[29,80,82],"vision,":[30],"supporting":[31],"adoption":[33,50],"Electric":[35],"Vehicles":[36],"(EV)":[37],"contributes":[38],"improved":[40],"air":[41],"quality,":[42],"mobility,":[44],"utility":[46],"distribution.":[47],"Fostering":[48],"EV":[49,64,101,116],"contends":[51],"with":[52],"concerns":[53],"typically":[54],"centered":[55],"on":[56],"vehicle":[57],"range":[58],"costs.":[60,78],"An":[61],"understanding":[62],"charging":[65,72,102,117,125,148],"patterns":[66],"therefore":[68],"crucial":[69],"optimizing":[71],"placement":[74],"managing":[76],"operational":[77,98],"end,":[81],"paper":[83],"proposes":[84],"an":[85],"automated":[86],"analytical":[87],"workflow":[88],"gain":[90],"insight":[91],"from":[92,100],"large":[94],"volume":[95],"real":[97],"data":[99,118],"stations.":[103],"research":[105],"goal":[106],"establish":[109],"mechanism":[111],"descriptively":[113],"analyse":[114],"thoroughly":[121],"diagnose":[122],"whether":[123],"low-demand":[124],"station":[126],"groupings":[127],"can":[128],"effectively":[129],"be":[130],"identified":[131],"using":[132],"spatio-temporal":[133],"features":[134,156],"hierarchical":[136],"clustering.":[137],"Preliminary":[138],"results":[139],"suggest":[140],"agglomerative":[141],"clustering":[142],"effective":[144],"at":[145],"grouping":[146],"similar":[147],"stations":[149],"together":[150],"when":[151],"considering":[152],"spatial":[153],"temporal":[155],"recharge":[158],"events.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}