Analysis of New Energy Vehicle Development in China Based on LSTM and ARIMA Models

Yuhe Zhang

doi:10.54097/dhbfgy94

Authors

Yuhe Zhang

DOI:

https://doi.org/10.54097/dhbfgy94

Keywords:

Multiple Regression Modelling; LSTM; ARIMA.

Abstract

This study comprehensively analyses the development factors of new energy vehicles in China based on data and literature, adopts principal component analysis to reduce the dimensionality to deal with the influence indicators, and combines multiple regression and LSTM model to predict the development trend of the industry. For the relationship between electrification and the ecological environment, multiple linear regression and ARIMA methods are tried to explore the impact of carbon emissions on the ecological environment. These methods provide a comprehensive perspective for a comprehensive understanding of the development of new energy vehicles and provide a reference basis for future industrial development and ecological environment improvement.

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