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In order to predict the peak of carbon emissions, and to help enterprises design the path of carbon emission reduction, it is necessary to study the prediction method of carbon emissions. At present, the prediction model based on TFDI model is used to predict the peak of carbon emissions, which can not fully consider the influence factors of carbon emissions in the process of prediction, leading to the prediction of the peak value of carbon emissions. Therefore, this paper puts forward a new model of carbon emission prediction based on grey neural network model. The model is based on the grey model, and neural network by combining grey neural network model, the corporate carbon raw data are superimposed, and is represented by differential equations, the VSTE algorithm as the basic algorithm grey neural network prediction model, the calculation of corporate carbon emissions path of carbon emissions, to meet the random Gauss distribution function in order to forecast, corporate carbon emissions to peak. The experimental results show that the proposed model can accurately predict the peak of carbon emissions, and help enterprises to design a path of carbon emission reduction.