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:252
期号:3
页码:1-10
DOI:10.1088/1755-1315/252/3/032098
出版社:IOP Publishing
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.