A novel target design and path planning model for regional peak carbon dioxide emissions

The premise of achieving carbon neutrality is to reach the peak carbon dioxide emissions. Therefore, this paper proposes a novel target design and path planning model for regional peak carbon dioxide emissions. First considering the attributes of influence factors on regional carbon emissions, and based on the logistic equation and grey theory, a highly adaptive forecasting method of influence factors of regional carbon emission is proposed. Subsequently, a regional carbon emissions prediction model is established based on multivariable convolutional neural network (CNN). Then, based on the target of peak carbon dioxide emissions, a scenario design method based on spatial mapping is proposed, and a target design and path planning model for regional peak carbon dioxide emissions based on genetic algorithm (GA) and multivariable CNN is established. Finally, the effectiveness of the proposed methods and models are verified in a practical case in a region along the southeast coast of China.