Research on carbon emission prediction of coal enterprises
Ning Depeng
Ma Jinshan
Li le
Abstract：S Coal Industry Group is taken as the research object,and the grey GM(1,1)model,discrete grey GM(1,1)model,exponential smoothing method prediction model and multiple methods combined prediction model are used to forecast its carbon emissions.After mean relative error(MRE)and mean absolute error(MAE)tests,the accuracy of the model is good and meets the accuracy requirements of the prediction.The carbon emission prediction results for 2030 are calculated as follows:the carbon emission predicted by the grey GM(1,1)model is 994.72 tons;the carbon emission predicted by the discrete grey GM(1,1)model is 993.19 tons;and the carbon emission predicted by the exponential smoothing method is 813.73 tons.The prediction accuracy of the combined prediction model is better than that of the single prediction model.Therefore,the carbon emission predicted value of the combined prediction model is 933.42 tons,which provides strong support for coal enterprises to actively respond to the ＂ dual carbon＂ national strategy and make outstanding contributions to the control of climate temperature rise.
Keywords：carbon emission predictiongrey prediction methodtime series prediction methodcombined prediction method
Publication Date：2023-12-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 24-29 )