New Energy Vehicles Sales Prediction Method and Empirical Research against the Backdrop of Big Data
Yuting Zhao, Shuang Zheng, Xinliang Xu
Available Online October 2018.
- https://doi.org/10.2991/icpel-18.2018.53How to use a DOI?
- Big data, new energy vehicles, internet search index, sales prediction
- 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.
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 - 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 - https://doi.org/10.2991/icpel-18.2018.53 ID - Zhao2018/10 ER -