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Forecasting Electric Vehicles Demand in USA

In: Liss 2014

Author

Listed:
  • Zhanglin Peng

    (Hefei University of Technology
    Beijing Jiaotong University)

  • Shanlin Yang

    (Hefei University of Technology)

  • Wenliang Bian

    (Beijing Jiaotong University)

  • Zhiqiang Chen

    (Hefei University of Technology)

  • Xiaojia Wang

    (Hefei University of Technology)

  • Zhijun Yu

    (Hefei University of Technology)

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.

Suggested Citation

  • Zhanglin Peng & Shanlin Yang & Wenliang Bian & Zhiqiang Chen & Xiaojia Wang & Zhijun Yu, 2015. "Forecasting Electric Vehicles Demand in USA," Springer Books, in: Zhenji Zhang & Zuojun Max Shen & Juliang Zhang & Runtong Zhang (ed.), Liss 2014, edition 127, pages 1291-1296, Springer.
    • Handle: RePEc:spr:sprchp:978-3-662-43871-8_187
    DOI: 10.1007/978-3-662-43871-8_187
    as

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