{"id":"https://openalex.org/W2123953879","doi":"https://doi.org/10.1109/ijcnn.2008.4634106","title":"Forecast of driving load of hybrid electric vehicles by using discrete cosine transform and Support Vector Machine","display_name":"Forecast of driving load of hybrid electric vehicles by using discrete cosine transform and Support Vector Machine","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2123953879","doi":"https://doi.org/10.1109/ijcnn.2008.4634106","mag":"2123953879"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2008.4634106","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2008.4634106","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)","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/A5103044581","display_name":"Jian Yang","orcid":"https://orcid.org/0000-0001-5657-7763"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jian Yang","raw_affiliation_strings":["School of Electronics Engineering and Computer Science, Peking University, Beijing, China","Dept. of Machine Intell., Peking Univ., Beijing"],"affiliations":[{"raw_affiliation_string":"School of Electronics Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Dept. of Machine Intell., Peking Univ., Beijing","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080717946","display_name":"Xi Huang","orcid":"https://orcid.org/0000-0003-3391-6675"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Huang","raw_affiliation_strings":["Peking University, Beijing, Beijing, CN","Dept. of Machine Intell., Peking Univ., Beijing"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, Beijing, CN","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Dept. of Machine Intell., Peking Univ., Beijing","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023089209","display_name":"Ying Tan","orcid":"https://orcid.org/0000-0001-8243-4731"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Tan","raw_affiliation_strings":["Peking University, Beijing, Beijing, CN","Dept. of Machine Intell., Peking Univ., Beijing"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, Beijing, CN","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Dept. of Machine Intell., Peking Univ., Beijing","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112108098","display_name":"Xingui He","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingui He","raw_affiliation_strings":["Peking University, Beijing, Beijing, CN","Dept. of Machine Intell., Peking Univ., Beijing"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, Beijing, CN","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Dept. of Machine Intell., Peking Univ., Beijing","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103044581"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":1.2798,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.83210668,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2227","last_page":"2234"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10663","display_name":"Advanced Battery Technologies Research","score":0.9988999962806702,"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/T10663","display_name":"Advanced Battery Technologies Research","score":0.9988999962806702,"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/T10768","display_name":"Electric Vehicles and Infrastructure","score":0.998199999332428,"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/T10808","display_name":"Electric and Hybrid Vehicle Technologies","score":0.9948999881744385,"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/support-vector-machine","display_name":"Support vector machine","score":0.7938594818115234},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.7594079971313477},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6906356811523438},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5729024410247803},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4651452302932739},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.421589732170105},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4017893671989441},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.39661213755607605},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.221149742603302},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09032630920410156}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7938594818115234},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.7594079971313477},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6906356811523438},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5729024410247803},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4651452302932739},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.421589732170105},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4017893671989441},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.39661213755607605},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.221149742603302},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09032630920410156},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2008.4634106","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2008.4634106","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W91932901","https://openalex.org/W1508842709","https://openalex.org/W1518876489","https://openalex.org/W1536502391","https://openalex.org/W1563088657","https://openalex.org/W1968175429","https://openalex.org/W1988431799","https://openalex.org/W2028772506","https://openalex.org/W2098172284","https://openalex.org/W2107913111","https://openalex.org/W2108995755","https://openalex.org/W2111265815","https://openalex.org/W2118286367","https://openalex.org/W2118721156","https://openalex.org/W2131643806","https://openalex.org/W2134278108","https://openalex.org/W2134925510","https://openalex.org/W2140069289","https://openalex.org/W2142978876","https://openalex.org/W2152195021","https://openalex.org/W2153635508","https://openalex.org/W2156909104","https://openalex.org/W2161758672","https://openalex.org/W2163339363","https://openalex.org/W2169251508","https://openalex.org/W3120421331","https://openalex.org/W4256068510","https://openalex.org/W6674538144","https://openalex.org/W6680472591","https://openalex.org/W6683501427"],"related_works":["https://openalex.org/W2055682261","https://openalex.org/W1916685473","https://openalex.org/W1993363272","https://openalex.org/W2174937762","https://openalex.org/W2186390138","https://openalex.org/W2790129917","https://openalex.org/W2060035984","https://openalex.org/W2992856432","https://openalex.org/W2036536548","https://openalex.org/W2802236157"],"abstract_inverted_index":{"As":[0],"advances":[1],"in":[2,16,51,97],"green":[3],"automotives,":[4],"hybrid":[5],"electric":[6],"vehicle":[7],"(BEV)":[8],"has":[9],"being":[10],"given":[11],"more":[12,14],"and":[13,34,73,88,135,146,152,188],"attention":[15],"recent":[17],"years.":[18],"The":[19,78,102],"power":[20],"management":[21],"control":[22,142],"strategy":[23],"of":[24,38,45,49,64,92,114,118,122,161,169],"BEV":[25,50,66,124,145],"is":[26,80,104],"the":[27,32,39,43,61,65,90,108,119,123,131,144,167],"key":[28],"problem":[29],"that":[30],"determines":[31],"efficiency":[33,151],"pollution":[35],"emission":[36,154],"level":[37,155],"BEV,":[40],"which":[41,94,137],"requires":[42],"forecast":[44],"driving":[46,62,110,120,132],"load":[47,63,111,121,133],"situation":[48],"advance.":[52],"This":[53],"paper":[54],"proposes":[55],"an":[56,98],"efficient":[57,99],"approach":[58,179],"for":[59],"forecasting":[60],"by":[67],"using":[68],"Discrete":[69],"Cosine":[70],"Transform":[71],"(DCT)":[72],"Support":[74],"Vector":[75],"Machine":[76],"(SVM).":[77],"DCT":[79],"used":[81,105],"to":[82,106,139,143,165,174],"extract":[83],"features":[84],"from":[85],"raw":[86],"data,":[87],"reduce":[89],"dimensionality":[91],"feature":[93],"will":[95],"result":[96],"SVM":[100,103],"classification.":[101],"classify":[107],"current":[109,175],"into":[112],"one":[113],"five":[115],"presetting":[116],"levels":[117],"In":[125],"such":[126],"way,":[127],"we":[128],"can":[129],"predict":[130],"efficiently":[134],"accurately,":[136],"leads":[138],"a":[140,149,159,181],"reasonable":[141],"gives":[147,180],"as":[148,156],"high":[150],"low":[153],"possible.":[157],"Finally,":[158],"number":[160],"experiments":[162,187],"are":[163],"conducted":[164],"verify":[166],"validity":[168],"our":[170,177],"proposed":[171,178],"approach.":[172],"Compared":[173],"methods,":[176],"considerably":[182],"promising":[183],"performance":[184],"through":[185],"extensive":[186],"comparison":[189],"tests.":[190]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
