EV Regional Market Sales Forecast Based On GABP Neural Network

被引：0
|
作者：
Ma, Jun [1 ]
Yu, Jihong [1 ]
Gong, Zaiyan [1 ]
机构：
[1] Tongji Univ, Sch Automot Studies, Shanghai, Peoples R China
来源：
2018 4TH INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND MATERIAL APPLICATION | 2019年 / 252卷
关键词：
D O I：
10.1088/1755-1315/252/3/032098
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In view of the complexity and particularity of the EV regional market, GABP neural network algorithm is introduced to build a sales forecasting model of sub-models for the EV regional market. And then, the model was used to forecast the sub-models sales of three types of hypothetical development scenarios for the EV market in 2020. The results show that the restricted-purchase cities still are the major potential EV market in the future, and followed by cities such as Wuhan, Qingdao, and Taiyuan; In terms of models, A-class EV will become the main potential model for 2020.
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页数：9
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