Abstract
This paper seeks to forecast electric vehicles demand and its proportion to the whole car sales based on the historical 37 EVs monthly sales and Cars monthly sales spanning from Dec. 2010 to Dec. 2013 in USA. Triple exponential smoothing method is applied in this study. This paper provides EVs manufacturers and policymakers an effective solution to tightly observe and track the whole US EVs market demand, which can help them to adjust or reformulate some technology tactics and market measurements according to the forecast results.
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Acknowledgments
We are grateful to Yan (Joann) Zhou for the latest EV sales in USA, who is a staff at Argonne National Laboratory. This research is supported by National Natural Science Foundation of China (NSFC) (Nos. 71131002 and 71102150), and is also supported by the Special Foundation of Doctorate Personnel of Hefei University of Technology (No.2012HGBZ0647) and the China Scholarship Council.
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Peng, Z., Yang, S., Bian, W., Chen, Z., Wang, X., Yu, Z. (2015). Forecasting Electric Vehicles Demand in USA. In: Zhang, Z., Shen, Z., Zhang, J., Zhang, R. (eds) LISS 2014. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-43871-8_187
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DOI: https://doi.org/10.1007/978-3-662-43871-8_187
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