Beijing carbon trading forecast by BP neural network

In this paper, we get the data of carbon trading price and carbon trading volume from 2015/12/31 to 2017/10/13 in Beijing. First of all, the data is processed, the average value of carbon trading price and carbon trading volume for every 5,10,20,30 and 60 days respectively is obtained. Then the BP neural network model is used for carbon trading training and prediction simulation. Finally, the prediction curves of carbon trading price and carbon trading volume are obtained, and the model is tested.