DocumentCode
2482982
Title
Analysis of Dominant Factors in Chinese Power Growth Based on Fuzzy Association Rules
Author
Li, Zhiyong ; Shen, Min
Author_Institution
Guangdong Electr. Power Design Inst., Guangzhou, China
fYear
2010
fDate
22-23 May 2010
Firstpage
1
Lastpage
4
Abstract
The development of power system in developing countries can be affected by a great many parameters, hence it is necessary to identify the dominant factors, which are the most influential and typical. In this paper, 27 different variables were selected from statistics across China covering the period 1978-2008. By applying recently developed data mining techniques, interesting relationship between electricity consumption and influencing factors were obtained. Finally, four dominant factors as well as five sub-dominant factors were declared based on the confidence value of association rules.
Keywords
data mining; fuzzy set theory; power consumption; power engineering computing; power systems; Chinese power growth; data mining; developing countries; dominant factor analysis; electricity consumption; fuzzy association rules; power system; Association rules; Data mining; Economic indicators; Energy consumption; Fuzzy sets; Fuzzy systems; Industrial economics; Industrial relations; Power generation economics; Power system economics;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems and Applications (ISA), 2010 2nd International Workshop on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-5872-1
Electronic_ISBN
978-1-4244-5874-5
Type
conf
DOI
10.1109/IWISA.2010.5473492
Filename
5473492
Link To Document