Title :
Application of legendre polynomial in predicting of energy consumption per capital
Author :
Zhang, Hong-qin ; Gao, Lai-bin
Author_Institution :
College of Information and Technology, Jilin Agricultural University, Changchun, China 130118
Abstract :
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..
Keywords :
GM (1,1); Legendre polynomial component; least squares;
Conference_Titel :
World Automation Congress (WAC), 2012
Conference_Location :
Puerto Vallarta, Mexico
Print_ISBN :
978-1-4673-4497-5
