{"id":"https://openalex.org/W4400908555","doi":"https://doi.org/10.1109/siu61531.2024.10600795","title":"Optimization of Charging Prediction in Electric Vehicle Fleets: An Integrated Approach with EdgeAI and Data Flow Pipelines","display_name":"Optimization of Charging Prediction in Electric Vehicle Fleets: An Integrated Approach with EdgeAI and Data Flow Pipelines","publication_year":2024,"publication_date":"2024-05-15","ids":{"openalex":"https://openalex.org/W4400908555","doi":"https://doi.org/10.1109/siu61531.2024.10600795"},"language":"en","primary_location":{"id":"doi:10.1109/siu61531.2024.10600795","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu61531.2024.10600795","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 32nd Signal Processing and Communications Applications Conference (SIU)","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/A5104971287","display_name":"Enes Sevim","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Enes Sevim","raw_affiliation_strings":["Eski&#x015F;ehir Osmangazi &#x00DC;niversitesi,Bilgisayar M&#x00FC;hendisli&#x011F;i"],"affiliations":[{"raw_affiliation_string":"Eski&#x015F;ehir Osmangazi &#x00DC;niversitesi,Bilgisayar M&#x00FC;hendisli&#x011F;i","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104971288","display_name":"Utku Evren Dalg\u0131\u00e7","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Utku Evren Dalg\u0131\u00e7","raw_affiliation_strings":["Eski&#x015F;ehir Osmangazi &#x00DC;niversitesi,Bilgisayar M&#x00FC;hendisli&#x011F;i"],"affiliations":[{"raw_affiliation_string":"Eski&#x015F;ehir Osmangazi &#x00DC;niversitesi,Bilgisayar M&#x00FC;hendisli&#x011F;i","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108501472","display_name":"Metin Y\u0131lmaz","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Metin Y\u0131lmaz","raw_affiliation_strings":["Eski&#x015F;ehir Osmangazi &#x00DC;niversitesi,Bilgisayar M&#x00FC;hendisli&#x011F;i"],"affiliations":[{"raw_affiliation_string":"Eski&#x015F;ehir Osmangazi &#x00DC;niversitesi,Bilgisayar M&#x00FC;hendisli&#x011F;i","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060640463","display_name":"E. Mine \u00c7inar","orcid":"https://orcid.org/0000-0003-3189-7247"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ey\u00fcp \u00c7inar","raw_affiliation_strings":["Eski&#x015F;ehir Osmangazi &#x00DC;niversitesi,Bilgisayar M&#x00FC;hendisli&#x011F;i"],"affiliations":[{"raw_affiliation_string":"Eski&#x015F;ehir Osmangazi &#x00DC;niversitesi,Bilgisayar M&#x00FC;hendisli&#x011F;i","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059911695","display_name":"Ahmet Yaz\u0131c\u0131","orcid":"https://orcid.org/0000-0001-5589-2032"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ahmet Yaz\u0131c\u0131","raw_affiliation_strings":["Eski&#x015F;ehir Osmangazi &#x00DC;niversitesi,Bilgisayar M&#x00FC;hendisli&#x011F;i"],"affiliations":[{"raw_affiliation_string":"Eski&#x015F;ehir Osmangazi &#x00DC;niversitesi,Bilgisayar M&#x00FC;hendisli&#x011F;i","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5104971287"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2225,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5087931,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10768","display_name":"Electric Vehicles and Infrastructure","score":0.9542999863624573,"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":0.9542999863624573,"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/T12095","display_name":"Vehicle emissions and performance","score":0.9359999895095825,"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/T10808","display_name":"Electric and Hybrid Vehicle Technologies","score":0.9071999788284302,"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/pipeline-transport","display_name":"Pipeline transport","score":0.7266302108764648},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5806546211242676},{"id":"https://openalex.org/keywords/electric-vehicle","display_name":"Electric vehicle","score":0.45123088359832764},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.43185606598854065},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.4285278916358948},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.41540318727493286},{"id":"https://openalex.org/keywords/marine-engineering","display_name":"Marine engineering","score":0.3686809241771698},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.204689621925354},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.132970929145813},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.10244300961494446}],"concepts":[{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.7266302108764648},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5806546211242676},{"id":"https://openalex.org/C2776422217","wikidata":"https://www.wikidata.org/wiki/Q13629441","display_name":"Electric vehicle","level":3,"score":0.45123088359832764},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.43185606598854065},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.4285278916358948},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.41540318727493286},{"id":"https://openalex.org/C199104240","wikidata":"https://www.wikidata.org/wiki/Q118291","display_name":"Marine engineering","level":1,"score":0.3686809241771698},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.204689621925354},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.132970929145813},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.10244300961494446},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"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},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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:10.1109/siu61531.2024.10600795","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu61531.2024.10600795","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 32nd Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1995889332","https://openalex.org/W3104163240","https://openalex.org/W3008693296","https://openalex.org/W4312283151","https://openalex.org/W2571827127","https://openalex.org/W3125878227","https://openalex.org/W4385671734","https://openalex.org/W2120892143","https://openalex.org/W2162365590","https://openalex.org/W3014204036"],"abstract_inverted_index":{"In":[0,138],"this":[1,80],"study,":[2],"a":[3,21,85],"system":[4,34,81,102,115,127,149],"is":[5,18,128,142],"proposed":[6,126],"to":[7,54,83,89,144],"optimize":[8],"the":[9,36,40,43,47,57,69,98,112,125,139,148],"charging":[10],"prediction":[11,31],"process":[12],"of":[13,50,72,116],"electric":[14,77,119],"vehicle":[15,78],"fleets":[16],"and":[17,92,105,130,146,156],"integrated":[19],"with":[20,27,63],"data":[22,37,64,99,109],"flow":[23],"pipeline":[24],"constructed":[25],"along":[26],"an":[28,117],"EdgeAI-based":[29],"charge":[30,74],"approach.":[32],"The":[33,101,121],"processes":[35],"collected":[38,110],"from":[39],"vehicles":[41,152],"on":[42],"EdgeAI":[44],"unit,":[45],"predicts":[46],"current":[48],"state":[49],"charge,":[51],"transfers":[52],"it":[53,141],"database":[55],"through":[56,111],"Fiware":[58],"middleware,":[59],"enabling":[60],"its":[61],"visualization":[62],"analytics":[65],"tools.":[66],"Proposed":[67],"for":[68,150],"effective":[70,87],"management":[71,114],"battery":[73,113],"states":[75],"in":[76,135,153],"fleets,":[79],"aims":[82],"make":[84],"more":[86],"contribution":[88],"environmental":[90],"sustainability":[91],"energy":[93],"efficiency":[94],"goals":[95],"by":[96],"optimizing":[97],"flow.":[100],"was":[103],"prototyped":[104],"tested":[106],"using":[107],"raw":[108],"actual":[118],"vehicle.":[120],"results":[122],"show":[123],"that":[124],"reliable":[129],"can":[131],"be":[132],"easily":[133],"scaled":[134],"fleet":[136,151],"scenarios.":[137],"future,":[140],"planned":[143],"scale":[145],"implement":[147],"real":[154],"time":[155],"conduct":[157],"stress":[158],"tests.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}
