Abstract
With the increasingly serious environmental protection problems and the rapid increase of global energy consumption, new energy vehicles, as an alternative to traditional fossil fuel vehicles, show a strong development trend in China and the global automobile market. Therefore, whether we can accurately predict the future sales of new energy vehicles is of great significance for government decision-making, enterprise investment strategy and other aspects. Through the analysis of historical sales data, market trends and related factors, we use the long-term and short-term memory (LSTM) model to predict the sales volume of new energy vehicles in China. The experimental results indicate that the model has high accuracy and reliability in predicting the sales of new energy vehicles.
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