EV Regional Market Sales Forecast Based On GABP Neural Network

2018 4th International Conference on Environmental Science and Material Application

生态环境科学;材料科学

Ma, Jun^1 ; Yu, Jihong^1 ; Gong, Zaiyan^1

School of Automotive Studies, Tongji University, Shanghai, China^1

关键词: Development scenarios;    Ga-bp neural networks;    Potential Model;    Qingdao;    Regional markets;    Sales forecasting;    Submodels;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/252/3/032098/pdf
DOI  :  10.1088/1755-1315/252/3/032098

来源: IOP

【 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.