Rough Set-BP Neural Network Model in the Application of the Coal Demand Forecast

The energy of coal as the basis for rapid economic development plays a supporting role. In the past, the accuracy of forecasting coal demand is not very satisfactory. In this paper, rough set for the coal demand factors affecting the reduction, the core factors extracted using BP neural network to predict, through the results of China coal demand forecast can be seen that the value of history fit very well, indicating that this model has better scientific and rationality. Finally, the model predicts the next four years coal demand in China.