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Forecasting Battery Electric Vehicles

机译:预测电池电动车

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We me both TFDEA and Regression to forecast the diffusion of battery electric cars. Our methodology was divided into 6 steps. The objective of this project is to compare and discuss the results of TFDEA and Regression to be used to predict the model year of Battery Electric Vehicle. For project scope, the dataset of BEV will only focus on the BEV sold or available in US market from 1997-2015. The selection of variables will concentrate on the technical performance parameters in 2 seats and 4 seats market segments respectively.
机译:我们都是TFDEA和回归,以预测电池电动汽车的扩散。我们的方法分为6个步骤。该项目的目的是比较和讨论TFDEA和回归的结果,以便用于预测电池电动车的模型年。对于项目范围,BEV的数据集仅关注1997 - 2015年美国市场销售或可用的BEV。变量的选择将分别专注于2个座位和4个座位部分的技术性能参数。

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