{"id":"https://openalex.org/W4400946854","doi":"https://doi.org/10.23919/ecc64448.2024.10590711","title":"Neural Network-Based Prediction of Vehicle Energy Consumption on Highways","display_name":"Neural Network-Based Prediction of Vehicle Energy Consumption on Highways","publication_year":2024,"publication_date":"2024-06-25","ids":{"openalex":"https://openalex.org/W4400946854","doi":"https://doi.org/10.23919/ecc64448.2024.10590711"},"language":"en","primary_location":{"id":"doi:10.23919/ecc64448.2024.10590711","is_oa":false,"landing_page_url":"https://doi.org/10.23919/ecc64448.2024.10590711","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 European Control Conference (ECC)","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/A5099029417","display_name":"Dennis Bank","orcid":null},"institutions":[{"id":"https://openalex.org/I114112103","display_name":"Leibniz University Hannover","ror":"https://ror.org/0304hq317","country_code":"DE","type":"education","lineage":["https://openalex.org/I114112103"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dennis Bank","raw_affiliation_strings":["Institute of Mechatronics Systems, Leibniz University Hannover,Garbsen,Germany,30823"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Mechatronics Systems, Leibniz University Hannover,Garbsen,Germany,30823","institution_ids":["https://openalex.org/I114112103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002682219","display_name":"Daniel Fink","orcid":"https://orcid.org/0000-0002-2311-1382"},"institutions":[{"id":"https://openalex.org/I114112103","display_name":"Leibniz University Hannover","ror":"https://ror.org/0304hq317","country_code":"DE","type":"education","lineage":["https://openalex.org/I114112103"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Daniel Fink","raw_affiliation_strings":["Institute of Mechatronics Systems, Leibniz University Hannover,Garbsen,Germany,30823"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Mechatronics Systems, Leibniz University Hannover,Garbsen,Germany,30823","institution_ids":["https://openalex.org/I114112103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028312231","display_name":"Simon F. G. Ehlers","orcid":"https://orcid.org/0000-0001-5524-6639"},"institutions":[{"id":"https://openalex.org/I114112103","display_name":"Leibniz University Hannover","ror":"https://ror.org/0304hq317","country_code":"DE","type":"education","lineage":["https://openalex.org/I114112103"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Simon F.G. Ehlers","raw_affiliation_strings":["Institute of Mechatronics Systems, Leibniz University Hannover,Garbsen,Germany,30823"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Mechatronics Systems, Leibniz University Hannover,Garbsen,Germany,30823","institution_ids":["https://openalex.org/I114112103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039578386","display_name":"Thomas Seel","orcid":"https://orcid.org/0000-0002-6920-1690"},"institutions":[{"id":"https://openalex.org/I114112103","display_name":"Leibniz University Hannover","ror":"https://ror.org/0304hq317","country_code":"DE","type":"education","lineage":["https://openalex.org/I114112103"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Seel","raw_affiliation_strings":["Institute of Mechatronics Systems, Leibniz University Hannover,Garbsen,Germany,30823"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Mechatronics Systems, Leibniz University Hannover,Garbsen,Germany,30823","institution_ids":["https://openalex.org/I114112103"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I114112103"],"apc_list":null,"apc_paid":null,"fwci":0.789,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.63574547,"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":"711","last_page":"717"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12095","display_name":"Vehicle emissions and performance","score":0.9796000123023987,"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"}},"topics":[{"id":"https://openalex.org/T12095","display_name":"Vehicle emissions and performance","score":0.9796000123023987,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9429000020027161,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/energy-consumption","display_name":"Energy consumption","score":0.7393720746040344},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6792565584182739},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5834107995033264},{"id":"https://openalex.org/keywords/consumption","display_name":"Consumption (sociology)","score":0.4947747588157654},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.4788060784339905},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.42385178804397583},{"id":"https://openalex.org/keywords/vehicle-dynamics","display_name":"Vehicle dynamics","score":0.415740430355072},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2549469470977783},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19572043418884277},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.08195585012435913}],"concepts":[{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.7393720746040344},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6792565584182739},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5834107995033264},{"id":"https://openalex.org/C30772137","wikidata":"https://www.wikidata.org/wiki/Q5164762","display_name":"Consumption (sociology)","level":2,"score":0.4947747588157654},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.4788060784339905},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.42385178804397583},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.415740430355072},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2549469470977783},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19572043418884277},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.08195585012435913},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/ecc64448.2024.10590711","is_oa":false,"landing_page_url":"https://doi.org/10.23919/ecc64448.2024.10590711","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 European Control Conference (ECC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8799999952316284,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G4976328572","display_name":null,"funder_award_id":"01MV22018","funder_id":"https://openalex.org/F4320321602","funder_display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt"}],"funders":[{"id":"https://openalex.org/F4320321602","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt","ror":"https://ror.org/04bwf3e34"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W24067677","https://openalex.org/W1924770834","https://openalex.org/W2774723386","https://openalex.org/W2902792107","https://openalex.org/W3012023297","https://openalex.org/W3094099748","https://openalex.org/W3217675324","https://openalex.org/W4285202105","https://openalex.org/W4313368168","https://openalex.org/W6640212811","https://openalex.org/W6739901393","https://openalex.org/W6796707148"],"related_works":["https://openalex.org/W1997864015","https://openalex.org/W2363394879","https://openalex.org/W2349491863","https://openalex.org/W2391251536","https://openalex.org/W2352593301","https://openalex.org/W2362442652","https://openalex.org/W2355350486","https://openalex.org/W2220651985","https://openalex.org/W2362198218","https://openalex.org/W1982750869"],"abstract_inverted_index":{"The":[0,98,146],"use":[1],"of":[2,11,38,109,134,140],"predictive":[3,158],"energy":[4,63,129,147,159,164],"management":[5,160],"systems":[6,17],"can":[7],"improve":[8],"the":[9,25,36,39,43,47,92,107,127,154],"efficiency":[10],"multi-energy":[12],"storage":[13],"vehicles.":[14],"However,":[15],"current":[16],"have":[18],"limitations,":[19],"such":[20,69],"as":[21,70],"short":[22],"prediction":[23,48,148],"horizons,":[24],"requirement":[26],"for":[27,61,143],"input":[28],"data":[29,68],"that":[30,121],"is":[31,49],"not":[32],"publicly":[33],"available,":[34],"or":[35],"training":[37],"Neural":[40,80],"Networks":[41,81,89],"on":[42,45,116],"routes":[44],"which":[46],"made.":[50],"To":[51],"overcome":[52],"these":[53],"challenges,":[54],"this":[55,151],"paper":[56],"introduces":[57],"a":[58,103,131,137],"novel":[59],"method":[60],"long-horizon":[62],"prediction,":[64],"utilizing":[65],"readily":[66],"available":[67],"route":[71],"geometry":[72],"and":[73,87,113,166],"traffic":[74],"information.":[75],"Our":[76],"study":[77,152],"compares":[78],"Convolutional":[79],"(CNNs),":[82],"Gated":[83],"Recurrent":[84],"Units":[85],"(GRUs),":[86],"Transformer":[88],"optimized":[90],"using":[91,106],"Asynchronous":[93],"Successive":[94],"Halving":[95],"Algorithm":[96],"(ASHA).":[97],"models":[99],"were":[100],"evaluated":[101],"in":[102,150],"simulated":[104],"environment":[105],"Simulation":[108],"Urban":[110],"MObility":[111],"(SUMO)":[112],"further":[114],"tested":[115],"real-world":[117],"driving":[118],"data,":[119],"demonstrating":[120],"we":[122],"are":[123],"able":[124],"to":[125,156,168],"predict":[126],"consumed":[128],"over":[130],"45km":[132],"stretch":[133],"highway":[135],"with":[136],"median":[138],"RMSE":[139],"0.018":[141],"kWh/km":[142],"practical":[144],"application.":[145],"developed":[149],"has":[153],"potential":[155],"enhance":[157],"systems,":[161],"thereby":[162],"optimizing":[163],"usage":[165],"contributing":[167],"CO2emission":[169],"reduction.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}