Accuracy Study of Carbon Emission Intensity Prediction Models
This paper takes carbon emission intensity as the main research object,and uses relevant data of China's carbon emissions from 2005 to 2019 to establish support vector regression SVR model,random forest RF model,BP neural network model,and combined models of SVR-RF and SVR-BP.The results show that the prediction accuracy of the combined model is better than that of the single model,among which the SVR-BP combined model has the best prediction effect.Therefore,the SVR-BP combined model can be used to simulate the future carbon emission reduction by combining the development characteristics of each region to explore a more scientific emission reduction path.
NETL
NSTL
万方数据
维普
