Yanli Liu, Junyi Wang, Lin Wang, Zhipeng Guo, Yujing Zhang
{"title":"基于数据驱动的电动汽车车主识别方法","authors":"Yanli Liu, Junyi Wang, Lin Wang, Zhipeng Guo, Yujing Zhang","doi":"10.1109/iSPEC50848.2020.9351284","DOIUrl":null,"url":null,"abstract":"Considering the strong correlations between EV's behavior and its owner's household life behavior, this paper proposes a data-driven based multi stage association identification method to identify owners of EVs in a residential area. Specially, different association parameters are established in different stages to determine the household that best matches each EV gradually. A case study is used to illustrate the proposed method.","PeriodicalId":403879,"journal":{"name":"2020 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Data-driven Method Based Electric Vehicle Owner Identification\",\"authors\":\"Yanli Liu, Junyi Wang, Lin Wang, Zhipeng Guo, Yujing Zhang\",\"doi\":\"10.1109/iSPEC50848.2020.9351284\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Considering the strong correlations between EV's behavior and its owner's household life behavior, this paper proposes a data-driven based multi stage association identification method to identify owners of EVs in a residential area. Specially, different association parameters are established in different stages to determine the household that best matches each EV gradually. A case study is used to illustrate the proposed method.\",\"PeriodicalId\":403879,\"journal\":{\"name\":\"2020 IEEE Sustainable Power and Energy Conference (iSPEC)\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-11-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE Sustainable Power and Energy Conference (iSPEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/iSPEC50848.2020.9351284\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE Sustainable Power and Energy Conference (iSPEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iSPEC50848.2020.9351284","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Data-driven Method Based Electric Vehicle Owner Identification
Considering the strong correlations between EV's behavior and its owner's household life behavior, this paper proposes a data-driven based multi stage association identification method to identify owners of EVs in a residential area. Specially, different association parameters are established in different stages to determine the household that best matches each EV gradually. A case study is used to illustrate the proposed method.