{"id":"https://openalex.org/W7117555437","doi":"https://doi.org/10.1109/iisa66859.2025.11311334","title":"Predicting EV Charging Station Load by Applying LSTM Techniques","display_name":"Predicting EV Charging Station Load by Applying LSTM Techniques","publication_year":2025,"publication_date":"2025-07-10","ids":{"openalex":"https://openalex.org/W7117555437","doi":"https://doi.org/10.1109/iisa66859.2025.11311334"},"language":null,"primary_location":{"id":"doi:10.1109/iisa66859.2025.11311334","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iisa66859.2025.11311334","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 16th International Conference on Information, Intelligence, Systems & Applications (IISA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5116121769","display_name":"APOSTOLOS VALIAKOS","orcid":null},"institutions":[{"id":"https://openalex.org/I145722265","display_name":"University of Thessaly","ror":"https://ror.org/04v4g9h31","country_code":"GR","type":"education","lineage":["https://openalex.org/I145722265"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Apostolos Valiakos","raw_affiliation_strings":["University of Thessaly,Department of Energy Systems,Larissa,Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Thessaly,Department of Energy Systems,Larissa,Greece","institution_ids":["https://openalex.org/I145722265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076338496","display_name":"Alexios Lekidis","orcid":"https://orcid.org/0000-0002-8243-7075"},"institutions":[{"id":"https://openalex.org/I145722265","display_name":"University of Thessaly","ror":"https://ror.org/04v4g9h31","country_code":"GR","type":"education","lineage":["https://openalex.org/I145722265"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Alexios Lekidis","raw_affiliation_strings":["University of Thessaly,Department of Energy Systems,Larissa,Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Thessaly,Department of Energy Systems,Larissa,Greece","institution_ids":["https://openalex.org/I145722265"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103330919","display_name":"Papageorgiou Elpiniki","orcid":null},"institutions":[{"id":"https://openalex.org/I145722265","display_name":"University of Thessaly","ror":"https://ror.org/04v4g9h31","country_code":"GR","type":"education","lineage":["https://openalex.org/I145722265"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Papageorgiou Elpiniki","raw_affiliation_strings":["University of Thessaly,Department of Energy Systems,Larissa,Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Thessaly,Department of Energy Systems,Larissa,Greece","institution_ids":["https://openalex.org/I145722265"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I145722265"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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":0.9907000064849854,"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":0.9907000064849854,"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/T10603","display_name":"Smart Grid Energy Management","score":0.00139999995008111,"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":0.0012000000569969416,"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/smart-grid","display_name":"Smart grid","score":0.6222000122070312},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5504000186920166},{"id":"https://openalex.org/keywords/charging-station","display_name":"Charging station","score":0.548799991607666},{"id":"https://openalex.org/keywords/electricity","display_name":"Electricity","score":0.525600016117096},{"id":"https://openalex.org/keywords/load-profile","display_name":"Load profile","score":0.4880000054836273},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.47290000319480896}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6618000268936157},{"id":"https://openalex.org/C10558101","wikidata":"https://www.wikidata.org/wiki/Q689855","display_name":"Smart grid","level":2,"score":0.6222000122070312},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5504000186920166},{"id":"https://openalex.org/C2779607880","wikidata":"https://www.wikidata.org/wiki/Q2140665","display_name":"Charging station","level":4,"score":0.548799991607666},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5327000021934509},{"id":"https://openalex.org/C206658404","wikidata":"https://www.wikidata.org/wiki/Q12725","display_name":"Electricity","level":2,"score":0.525600016117096},{"id":"https://openalex.org/C2777908891","wikidata":"https://www.wikidata.org/wiki/Q1806775","display_name":"Load profile","level":3,"score":0.4880000054836273},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.47290000319480896},{"id":"https://openalex.org/C2776422217","wikidata":"https://www.wikidata.org/wiki/Q13629441","display_name":"Electric vehicle","level":3,"score":0.46700000762939453},{"id":"https://openalex.org/C7817414","wikidata":"https://www.wikidata.org/wiki/Q1779504","display_name":"Energy management","level":3,"score":0.33980000019073486},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.3305000066757202},{"id":"https://openalex.org/C2986689482","wikidata":"https://www.wikidata.org/wiki/Q1806775","display_name":"Peak load","level":2,"score":0.3287999927997589},{"id":"https://openalex.org/C2779438525","wikidata":"https://www.wikidata.org/wiki/Q5255048","display_name":"Demand response","level":3,"score":0.3190000057220459},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.2874000072479248},{"id":"https://openalex.org/C184773241","wikidata":"https://www.wikidata.org/wiki/Q387400","display_name":"Mains electricity","level":3,"score":0.26170000433921814},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2587999999523163}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iisa66859.2025.11311334","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iisa66859.2025.11311334","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 16th International Conference on Information, Intelligence, Systems & Applications (IISA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.6411927342414856,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1973217532","https://openalex.org/W2019769688","https://openalex.org/W2067521399","https://openalex.org/W2113603160","https://openalex.org/W2432152265","https://openalex.org/W2769874491","https://openalex.org/W2944851425","https://openalex.org/W2990788382","https://openalex.org/W3086833944","https://openalex.org/W3213040481","https://openalex.org/W4206647748","https://openalex.org/W4362498084","https://openalex.org/W4362716336","https://openalex.org/W4385257513","https://openalex.org/W4395670333","https://openalex.org/W4399800604","https://openalex.org/W4402041121","https://openalex.org/W4403289886","https://openalex.org/W4413392717"],"related_works":[],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"the":[3,12,72,88,119,122,129],"growing":[4],"number":[5,102],"of":[6,17,23,76,103,124],"Electric":[7],"Vehicles":[8],"(EVs)":[9],"has":[10],"underscored":[11],"necessity":[13],"for":[14,29,52],"efficient":[15],"management":[16],"charging":[18,25,41,69,78,105,126],"station":[19],"resources.":[20],"Accurate":[21],"prediction":[22],"EV":[24,45,77,104,125],"demand":[26,66],"is":[27],"pivotal":[28],"optimizing":[30],"infrastructure":[31,137],"utilization":[32],"and":[33,37,81,87,96],"enhancing":[34],"user":[35],"satisfaction,":[36],"developing":[38],"a":[39,50],"smart":[40],"strategy":[42],"to":[43,62],"reduce":[44],"inconvenience.":[46],"This":[47],"paper":[48,111],"introduces":[49],"method":[51],"investigating":[53],"various":[54],"Long":[55],"Short-Term":[56],"Memory":[57],"(LSTM)":[58],"neural":[59],"network":[60],"architectures":[61],"forecast":[63],"shortterm":[64],"load":[65],"at":[67],"individual":[68],"stations,":[70],"leveraging":[71],"temporal":[73],"time":[74],"dependencies":[75],"patterns.":[79],"Standard":[80],"bidirectional":[82],"LSTM":[83],"networks":[84],"are":[85,90],"implemented,":[86],"results":[89],"evaluated":[91],"based":[92],"on":[93],"widely":[94],"adopted":[95],"open-access":[97],"datasets":[98],"with":[99],"an":[100],"extensive":[101],"sessions.":[106],"The":[107],"findings":[108],"from":[109],"this":[110],"suggest":[112],"that":[113],"LSTM-based":[114],"models":[115],"can":[116],"significantly":[117],"improve":[118],"accuracy":[120],"in":[121,128],"integration":[123],"stations":[127],"electricity":[130],"grid":[131],"as":[132,134],"well":[133],"facilitate":[135],"strategic":[136],"planning.":[138]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-12-30T00:00:00"}