Application of Legendre Polynomial in Predicting of energy consumption per capital

摘要：

Based on statistical data of National Statistical Bureau of China, and giving the least-squares fitting of Legendre polynomial, the data of energy consumption per capita from 1983 to 2008 is analyzed by GM (1,1) method and Legendre polynomial least squares method respectively. The results showed that Legendre polynomial least squares fitting method is excellent, per capita energy consumption from 2009 to 2013 is predicted by this method..

关键词： GM (1,1) least squares Legendre polynomial component

作者: Hong-qin ZHANG Lai-bin GAO

作者单位: College of Information and Technology, Jilin Agricultural University Changchun,China 130118 College of Information and Technology, Jilin Agricultural University Changchun, China 130118

会议类型: 国际会议

会议名称: 2011 International Conference on Green Energy and Environmental Sustainable Development(2011年IEEE绿色能源与环境可持续发展国际会议 GEESD2011)

会议地点: 吉林

会议语种:英文

页码: 1569-1571

在线出版日期: 2011-11-04（万方平台首次上网日期，不代表论文的发表时间）