{"id":"https://openalex.org/W4399146974","doi":"https://doi.org/10.1145/3659211.3659239","title":"An energy consumption condition construction method based on PCA reduction and K-means clustering","display_name":"An energy consumption condition construction method based on PCA reduction and K-means clustering","publication_year":2023,"publication_date":"2023-12-08","ids":{"openalex":"https://openalex.org/W4399146974","doi":"https://doi.org/10.1145/3659211.3659239"},"language":"en","primary_location":{"id":"doi:10.1145/3659211.3659239","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3659211.3659239","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 4th International Conference on Big Data Economy and Information Management","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/A5028136493","display_name":"Manman Cao","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Manman Cao","raw_affiliation_strings":["CATARC Intelligent and Connected Technology Co., LTd, China"],"affiliations":[{"raw_affiliation_string":"CATARC Intelligent and Connected Technology Co., LTd, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011984114","display_name":"Ying Zhang","orcid":"https://orcid.org/0009-0006-9070-976X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ying Zhang","raw_affiliation_strings":["CATARC Intelligent and Connected Technology Co., LTd, China"],"affiliations":[{"raw_affiliation_string":"CATARC Intelligent and Connected Technology Co., LTd, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064721787","display_name":"Qiang Wang","orcid":"https://orcid.org/0009-0005-5247-8385"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qiang Wang","raw_affiliation_strings":["CATARC Intelligent and Connected Technology Co., LTd, China"],"affiliations":[{"raw_affiliation_string":"CATARC Intelligent and Connected Technology Co., LTd, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072401932","display_name":"Xiaomeng Wu","orcid":"https://orcid.org/0009-0003-2372-2786"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaomeng Wu","raw_affiliation_strings":["CATARC Intelligent and Connected Technology Co., LTd, China"],"affiliations":[{"raw_affiliation_string":"CATARC Intelligent and Connected Technology Co., LTd, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5028136493"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24316664,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"161","last_page":"165"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12095","display_name":"Vehicle emissions and performance","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9951000213623047,"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"}},{"id":"https://openalex.org/T12617","display_name":"Energy, Environment, and Transportation Policies","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/2105","display_name":"Renewable Energy, Sustainability and the Environment"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.7860323190689087},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7322166562080383},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6055690050125122},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5695431232452393},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5663766860961914},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.5616551041603088},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4648894667625427},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4503641128540039},{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.44075721502304077},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.4404163956642151},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.30621495842933655},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22905725240707397}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.7860323190689087},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7322166562080383},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6055690050125122},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5695431232452393},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5663766860961914},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.5616551041603088},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4648894667625427},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4503641128540039},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.44075721502304077},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.4404163956642151},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.30621495842933655},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22905725240707397},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3659211.3659239","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3659211.3659239","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 4th International Conference on Big Data Economy and Information Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8999999761581421,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2016087887","https://openalex.org/W2103868202","https://openalex.org/W2128728535","https://openalex.org/W2612264206","https://openalex.org/W2621209992","https://openalex.org/W2943199366","https://openalex.org/W3036859713","https://openalex.org/W3048804154","https://openalex.org/W3063298056"],"related_works":["https://openalex.org/W2579148721","https://openalex.org/W4387893611","https://openalex.org/W2347335694","https://openalex.org/W2091056927","https://openalex.org/W2067407580","https://openalex.org/W4317486777","https://openalex.org/W4389669152","https://openalex.org/W2038514069","https://openalex.org/W1967233468","https://openalex.org/W2009181529"],"abstract_inverted_index":{"In":[0,120],"this":[1,126],"paper,":[2],"an":[3],"energy":[4,157],"consumption":[5,158],"condition":[6,127,149],"generation":[7],"method":[8],"based":[9,71,90,142],"on":[10,72,91,143],"principal":[11,59],"component":[12,60],"analysis":[13,17,61],"and":[14,30,43,65,103,116,140,165],"K-means":[15,73],"cluster":[16],"is":[18,36,41,63,101,109],"proposed.":[19],"Firstly,":[20],"the":[21,27,31,38,55,58,66,86,92,95,104,113,118,121,123,129,137,144,156,162,167],"user's":[22],"driving":[23,28,148,163],"big":[24],"data":[25,40,45,62,93],"containing":[26],"usage":[29],"use":[32],"of":[33,57,78],"electrical":[34],"accessories":[35],"collected,":[37],"original":[39],"cleaned,":[42],"different":[44],"preprocessing":[46],"operations":[47],"are":[48,69,82],"selected":[49,110],"for":[50,128],"various":[51],"abnormal":[52],"data.":[53],"Then,":[54],"dimensionality":[56],"reduced":[64],"speed":[67,98],"levels":[68],"classified":[70],"clustering":[74],"algorithm.":[75],"Three":[76],"kinds":[77],"kinematic":[79],"fragment":[80],"libraries":[81],"formed":[83],"according":[84],"to":[85,111,154],"elbow":[87],"rule.":[88],"Finally,":[89],"statistics,":[94],"traffic":[96],"flow":[97],"ratio":[99],"rule":[100],"obtained,":[102],"typical":[105],"motion":[106],"segment":[107],"library":[108],"construct":[112],"characteristic":[114],"curve":[115],"verify":[117],"consistency.":[119],"laboratory,":[122],"enterprise":[124],"adopts":[125],"vehicle":[130,138],"hub":[131],"conversion":[132],"test,":[133],"which":[134],"can":[135],"realize":[136,155],"development":[139],"calibration":[141],"actual":[145],"passenger":[146],"car":[147],"in":[150],"China,":[151],"so":[152],"as":[153],"optimization":[159],"strategy,":[160],"extend":[161],"range":[164],"improve":[166],"economy.":[168]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}