%0 Journal Article
%T ENERGY DEMAND FORECASTING MODEL IN CHINA BASED ON WAVELET-NEURAL NETWORK<br>基于小波神经网络的中国能源需求预测模型
%A WANG Jue
%A BAO Qin
%A <br>王珏
%A 鲍勤
%J 系统科学与数学
%D 2009
%I 
%X 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.
%K Impact factor
%K energy demand
%K wavelet-neural network<br>影响因素
%K 能源需求
%K 小波神经网络.
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=37F46C35E03B4B86&jid=0CD45CC5E994895A7F41A783D4235EC2&aid=3B480190F0F74AF3BC28F52254430301&yid=DE12191FBD62783C&vid=771469D9D58C34FF&iid=708DD6B15D2464E8&sid=111DC5BD3401BA43&eid=044F0D973C30117E&journal_id=1000-0577&journal_name=系统科学与数学&referenced_num=1&reference_num=0