Proceedings of the 2018 3rd International Conference on Politics, Economics and Law (ICPEL 2018)

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

Authors
Yuting Zhao, Shuang Zheng, Xinliang Xu
Corresponding Author
Yuting Zhao
Available Online October 2018.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2018 3rd International Conference on Politics, Economics and Law (ICPEL 2018)
Part of series
Advances in Social Science, Education and Humanities Research
Publication Date
October 2018
ISBN
978-94-6252-605-1
ISSN
2352-5398
DOI
https://doi.org/10.2991/icpel-18.2018.53How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - 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  - https://doi.org/10.2991/icpel-18.2018.53
ID  - Zhao2018/10
ER  -