ENERGY DEMAND FORECASTING MODEL IN CHINA BASED ON WAVELET-NEURAL NETWORK
基于小波神经网络的中国能源需求预测模型

In this paper, an wavelet-neural-network-based forecast model is developed for energy demand in China. Combining qualitative with quantitative analysis, we analyze some main factors affecting energy demand in China. A first order wavelet-neural network forecasting model with time-delay is established, including population, GDP, variation of industrial structure and energy consumption. The simulation result shows that this nonlinear forecasting model ismore reasonable and has higher precision than other multiple regression models.