Research on the application of a combined model in carbon emission prediction

Nowadays, the prediction accuracy of carbon emissions is required to be improved, a combination model for prediction is proposed. First, calculate the carbon emissions according to the carbon emission conversion formula of petrochemical energy consumption, then use the trend moving average method to pre-process the calculated carbon emissions, and finally combine the pre-processed data with the grey linear regression model to realize the prediction of future carbon emissions. The experimental results show that the prediction accuracy of using traditional linear regression model and GM (1,1) is low, while using the grey linear regression model is good, but it is still lower than using the combined model proposed.