业务
市场渗透
索引(排版)
瓶颈
晋升(国际象棋)
计量经济学
产业组织
营销
计算机科学
经济
运营管理
政治学
政治
万维网
法学
作者
Bingchun Liu,Chengyuan Song,Qingshan Wang,Xinming Zhang,Jiali Chen
出处
期刊:Energy
[Elsevier]
日期:2022-02-23
卷期号:248: 123541-123541
被引量:31
标识
DOI:10.1016/j.energy.2022.123541
摘要
After breaking through the technical bottleneck in the early stage of development, China's NEVs (New Energy Vehicles) industry has ushered in breakthrough growth under the joint action of multiple promotion policies. To improve the market penetration of NEVs, verify whether the market penetration of NEVs can reach the target of 20% in 2025. Taking the sales volume of NEVs as a decision reference, this study proposes a multi-factor prediction model integrating DWT (Discrete Wavelet Transform) and BiLSTM (Bidirectional Long Short Term Memory). The optimal model is obtained through comparative experiments, the MAE, MAPE, and RMSE values of the DWT-BiLSTM model are 0.811, 5.671, and 1.001. Through the analysis of the average impact value of three representative cities, the relative importance of each input index is discussed quantitatively. From 2020 to 2025, the sales volume of NEVs in China will show growth trends in varying degrees under three scenarios, but none of them can achieve the goal of 20% market penetration of NEVs in 2025; Corresponding policy suggestions are put forward for the three types of cities, including adjusting the license quota policy, accelerating the construction of charging infrastructure and delaying the decline of subsidies for NEV.
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