{"id":"https://openalex.org/W4401168546","doi":"https://doi.org/10.1145/3674225.3674347","title":"A Method for Predicting Charging Load Demand of Electric Vehicles Based on Random Forest","display_name":"A Method for Predicting Charging Load Demand of Electric Vehicles Based on Random Forest","publication_year":2024,"publication_date":"2024-01-19","ids":{"openalex":"https://openalex.org/W4401168546","doi":"https://doi.org/10.1145/3674225.3674347"},"language":"en","primary_location":{"id":"doi:10.1145/3674225.3674347","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3674225.3674347","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Power Electronics and Artificial Intelligence","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/A5076052198","display_name":"Jiachen Che","orcid":null},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiachen Che","raw_affiliation_strings":["Economic Research Institute of State Grid Zhejiang Electric Power Company, China"],"raw_orcid":"https://orcid.org/0009-0000-1729-8008","affiliations":[{"raw_affiliation_string":"Economic Research Institute of State Grid Zhejiang Electric Power Company, China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000977309","display_name":"Feng Ye","orcid":null},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Feng","raw_affiliation_strings":["Economic Research Institute of State Grid Zhejiang Electric Power Company, China"],"raw_orcid":"https://orcid.org/0009-0008-5266-4868","affiliations":[{"raw_affiliation_string":"Economic Research Institute of State Grid Zhejiang Electric Power Company, China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108328377","display_name":"Shuhong Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuhong Wu","raw_affiliation_strings":["Economic Research Institute of State Grid Zhejiang Electric Power Company, China"],"raw_orcid":"https://orcid.org/0009-0006-5374-3264","affiliations":[{"raw_affiliation_string":"Economic Research Institute of State Grid Zhejiang Electric Power Company, China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106160561","display_name":"Wenxin Qiu","orcid":null},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxin Qiu","raw_affiliation_strings":["Economic Research Institute of State Grid Zhejiang Electric Power Company, China"],"raw_orcid":"https://orcid.org/0009-0008-0200-5725","affiliations":[{"raw_affiliation_string":"Economic Research Institute of State Grid Zhejiang Electric Power Company, China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Lin Zhou","orcid":"https://orcid.org/0009-0006-7517-8809"},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Zhou","raw_affiliation_strings":["Economic Research Institute of State Grid Zhejiang Electric Power Company, China"],"raw_orcid":"https://orcid.org/0009-0006-7517-8809","affiliations":[{"raw_affiliation_string":"Economic Research Institute of State Grid Zhejiang Electric Power Company, China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023200840","display_name":"Shaojie Ye","orcid":"https://orcid.org/0000-0003-2642-2917"},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaojie Ye","raw_affiliation_strings":["Economic Research Institute of State Grid Zhejiang Electric Power Company, China"],"raw_orcid":"https://orcid.org/0000-0003-2642-2917","affiliations":[{"raw_affiliation_string":"Economic Research Institute of State Grid Zhejiang Electric Power Company, China","institution_ids":["https://openalex.org/I17442442"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I17442442"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"672","last_page":"676"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10663","display_name":"Advanced Battery Technologies Research","score":0.9911999702453613,"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/T12095","display_name":"Vehicle emissions and performance","score":0.9775000214576721,"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/random-forest","display_name":"Random forest","score":0.684962272644043},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5070364475250244},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.3303174078464508},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15095332264900208},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14724114537239075}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.684962272644043},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5070364475250244},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.3303174078464508},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15095332264900208},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14724114537239075}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3674225.3674347","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3674225.3674347","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Power Electronics and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W3135254643","https://openalex.org/W3137189852","https://openalex.org/W3160536166","https://openalex.org/W4212938207","https://openalex.org/W4229025385","https://openalex.org/W4293071375","https://openalex.org/W4297271269"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W3193043704","https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W3171520305","https://openalex.org/W3135126032","https://openalex.org/W2390279801","https://openalex.org/W1924178503","https://openalex.org/W2358668433"],"abstract_inverted_index":{"Predicting":[0],"the":[1,19,24,37,69,77,87,96,111],"demand":[2,22,40,99],"for":[3,35],"electric":[4,14,42,47,101],"vehicle":[5,15,48],"charging":[6,16,20,38,49,97],"load":[7,21,39,50,98,129,151],"can":[8,134,154],"help":[9],"power":[10,128],"system":[11],"managers":[12],"and":[13,52,56,67,118,120,124,153],"operators":[17],"predict":[18,95],"in":[23,126,148],"future":[25],"time":[26],"period.":[27],"Therefore,":[28],"a":[29,81,136],"method":[30,92,109,133],"based":[31],"on":[32,76],"random":[33,78],"forest":[34,79],"predicting":[36,127],"of":[41,100,140],"vehicles":[43],"is":[44,84],"proposed.":[45],"Obtain":[46],"data":[51,65],"related":[53],"characteristic":[54],"data,":[55],"standardize":[57],"them.":[58],"Using":[59],"decision":[60,89],"tree":[61,90],"algorithm":[62],"to":[63,93],"extract":[64],"features":[66],"determine":[68],"correlation":[70],"between":[71],"different":[72],"influencing":[73],"factors.":[74],"Based":[75],"algorithm,":[80],"prediction":[82,138,152],"model":[83],"established":[85],"using":[86],"multi":[88],"voting":[91],"accurately":[94],"vehicles.":[102],"The":[103],"experimental":[104],"results":[105],"show":[106],"that":[107],"this":[108,132],"has":[110,121,144],"lowest":[112],"error":[113],"range,":[114],"ranging":[115],"from":[116],"15.8-21.6%":[117],"16.9-20.6%,":[119],"higher":[122],"accuracy":[123],"precision":[125],"demand.":[130],"And":[131],"maintain":[135],"stable":[137],"delay":[139],"about":[141],"0.55s,":[142],"which":[143],"good":[145],"real-time":[146],"performance":[147],"short-term":[149],"electricity":[150],"meet":[155],"practical":[156],"application":[157],"needs.":[158]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
