Charging Demand Forecasting Method Based on Historical Data

被引：3
|
作者：
Shi Shuanglong [1 ]
Yan Zhe [1 ]
Li Shuaihua [1 ]
Meng Da [2 ]
Xing Yuheng [1 ]
Xie Huan [2 ,3 ]
Wu Chunyan [2 ]
机构：
[1] State Grid Elect Vehicle Serv Co Ltd Peking, Beijing, Peoples R China
[2] Tsinghua Univ, Energy Internet Res Inst, Chengdu, Sichuan, Peoples R China
[3] State Grid Elect Vehicle Serv Co Ltd, Beijing 100054, Peoples R China
来源：
2019 5TH INTERNATIONAL CONFERENCE ON ENERGY MATERIALS AND ENVIRONMENT ENGINEERING | 2019年 / 295卷
关键词：
D O I：
10.1088/1755-1315/295/3/032002
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
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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收藏
页数：7
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