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  • 标题:Charging Demand Forecasting Method Based on Historical Data
  • 本地全文:下载
  • 作者:Shi Shuanglong ; Yan Zhe ; Li Shuaihua
  • 期刊名称:IOP Conference Series: Earth and Environmental Science
  • 印刷版ISSN:1755-1307
  • 电子版ISSN:1755-1315
  • 出版年度:2019
  • 卷号:295
  • 期号:3
  • 页码:1-8
  • DOI:10.1088/1755-1315/295/3/032002
  • 出版社:IOP Publishing
  • 摘要:This paper discusses a method for predicting the demand for charging using transaction data combined with data on the growth of the number of electric vehicles. The prediction result of charging demand can be used as an important reference for charging pile planning. The needs of electric vehicles can be divided into three different scenarios, night scenes, work scenes and entertainment scenes. In each scenario, we used Clark's negative exponential equation to describe the distribution of charging demand in space.
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