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
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;
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
DOI :
10.1109/ICSTE.2010.5608823
