Carbon Emissions Prediction of Jiangsu Province Based on Lasso-BP Neural Network Combined Model

Abstract

Abstract Under the policy of achieving carbon peak before 2030, the paper predicts whether Jiangsu province can achieve the peak of carbon emissions before 2030. Based on the data of Jiangsu province from 2001 to 2018, the paper uses Lasso regression model to screen out 8 significant factors affecting carbon emissions, sets the values of each influencing factors during 2019-2030, and uses the BP neural network model to predict the carbon emissions of Jiangsu province during 2019-2030. The prediction results show that Jiangsu province will achieve the carbon peak in 2023 under the hypothetical scenario, with the peak carbon emissions of 335.1755 million tons.