Analysis of factors and trend prediction of China45s new energy vehicle development based on data analysis
Authors: 
Lontang Ning, Benxiao Lou, Chun Bao, Huan Xiong, Shiyu Wang, Bote Liu, Guobin Gu, Jianqiu Chen, Sixin Li, Jiayu SunAuthors Info & Claims
Lontang Ning, Benxiao Lou, Chun Bao, Huan Xiong, Shiyu Wang, Bote Liu, Guobin Gu, Jianqiu Chen, Sixin Li, Jiayu SunAuthors Info & ClaimsPages 613 - 618
Abstract
With the advantages of low pollution, low energy consumption and the ability to balance the demand for electricity, new energy electric vehicles have broad application scenarios in intelligent transport, environmental protection and low-carbon travelling. This paper uses the new energy industry development data, first of all, using the network analysis method to mine the influence factors of the new energy automobile industry development, to find the most critical factors affecting China's new energy automobile industry are economy, policy, science and technology and market. And then use LSTM neural network to predict the development trend of China's new energy automobile industry in the next 10 years is a steady rise. The results of the study can provide a basis for the related industries to formulate development strategies.
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Published In
December 2023
917 pages
ISBN:9798400716669
DOI:10.1145/3659211
Copyright © 2023 ACM.
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Association for Computing Machinery
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Published: 29 May 2024
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BDEIM 2023
BDEIM 2023: 2023 4th International Conference on Big Data Economy and Information Management
December 8 - 10, 2023
Zhengzhou, China
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