Forecasting Carbon Emissions Using Mgm(1,M|Λ,Γ) Model with the Similar Meteorological Condition

Carbon emission is a common concern of the international community. It is necessary to forecast the future trend of carbon emission. Considering that the change trend of carbon emissions is unstable, more attention should be paid to the correction effect of new information on the development trend. Therefore, based on the traditional MGM(1,m) model, this paper introduces the new information priority operator λ and nonlinear parameter γ to strengthen the role of new information, further constructs three comparison models of MGM(1,m|λ), MGM(1,m|γ) and MGM(1,m|λ,γ).Then we apply the new model to the carbon emissions forecasts of China's Beijing-Tianjin-Hebei provinces and four Southeast Asian countries (Malaysia, Singapore, Thailand and Indonesia). The results illustrate that the new model has higher prediction accuracy, and adding dynamic parameters is a scientific and practical method to improve the forecasting ability of the grey forecasting model. Finally, we analyze the current situation and future development trend of carbon emissions, and put forward reasonable suggestions