DocumentCode
1584952
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
fYear
2012
Firstpage
1
Lastpage
3
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;
fLanguage
English
Publisher
ieee
Conference_Titel
World Automation Congress (WAC), 2012
Conference_Location
Puerto Vallarta, Mexico
ISSN
2154-4824
Print_ISBN
978-1-4673-4497-5
Type
conf
Filename
6321465
Link To Document