DocumentCode
2662572
Title
Prediction of energy consumption volume based on extension cluster model
Author
Yu, Song ; Yu, Yongquan ; Wang, Wenjuan
Author_Institution
Inst. of Comput., Gunagdong Univ. of Technol., Guangzhou, China
Volume
2
fYear
2010
fDate
3-5 Oct. 2010
Abstract
This paper analyze the influential factors of energy consumption volume. Use the concept of matter-element and correlation function to establish prediction model, the prediction results can be obtained by means of cluster analysis. Through analyzing and calculating the historical data of China, the results show that the model in the prediction of energy consumption volume is valid.
Keywords
energy consumption; pattern clustering; power engineering computing; cluster analysis; correlation function; energy consumption volume; extension cluster model; matter-element; prediction model; Biological system modeling; Correlation; Energy consumption; Predictive models; Solid modeling; Testing; Vehicles; correlation function; energy consumption volume; extension cluster; prediction model;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Technology and Engineering (ICSTE), 2010 2nd International Conference on
Conference_Location
San Juan, PR
Print_ISBN
978-1-4244-8667-0
Electronic_ISBN
978-1-4244-8666-3
Type
conf
DOI
10.1109/ICSTE.2010.5608823
Filename
5608823
Link To Document