New Energy Vehicles Sales Prediction Method and Empirical Research against the Backdrop of Big Data

DOI

10.2991/icpel-18.2018.53How to use a DOI?

Keywords

Big data, new energy vehicles, internet search index, sales prediction

Abstract

The sales of new energy vehicles are not only strongly related to the social economic condition, but also one of the important indicators reflecting the trend of public concern about environmental protection. This paper predicted the sales based on AR (1) model with the internet big data. The results showed that the prediction is more precise when combined consideration the internet search index, which means that the big data of Internet search engine improves the accuracy of forecasting. It also found that the Baidu index’s prediction result is more precise than that of any other web index. If using integrated search index, the prediction is more accurate when the ration of the Baidu index and the 360 index is close to the ratio of their users.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Yuting Zhao
AU  - Shuang Zheng
AU  - Xinliang Xu
PY  - 2018/10
DA  - 2018/10
TI  - New Energy Vehicles Sales Prediction Method and Empirical Research against the Backdrop of Big Data
BT  - Proceedings of the 2018 3rd International Conference on Politics, Economics and Law (ICPEL 2018)
PB  - Atlantis Press
SP  - 229
EP  - 234
SN  - 2352-5398
UR  - https://doi.org/10.2991/icpel-18.2018.53
DO  - 10.2991/icpel-18.2018.53
ID  - Zhao2018/10
ER  -