DocumentCode
2478321
Title
Electricity consumption prediction model based on fuzzy clustering and rough set
Author
Wang, Xin ; Wang, Xiaoli
Author_Institution
Sch. of Econ. & Manage., Tongji Univ., Shanghai
fYear
2008
fDate
25-27 June 2008
Firstpage
1081
Lastpage
1084
Abstract
In this paper, an electricity consumption prediction model is proposed and built up by the following steps: 1) characterize historical data via fuzzy clustering method; 2) reduce the characterized data based on rough set; 3) extract the correlation between the attribute equivalence and the predicted variable; 4) set up electricity consumption prediction model finally.
Keywords
fuzzy set theory; pattern clustering; power consumption; rough set theory; attribute equivalence; electricity consumption prediction model; fuzzy clustering; predicted variable; rough set; Clustering algorithms; Economic forecasting; Energy consumption; Energy management; Fuzzy control; Fuzzy sets; Intelligent control; Power generation economics; Predictive models; Virtual colonoscopy; electricity consumption prediction model; fuzzy clustering; rough set;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location
Chongqing
Print_ISBN
978-1-4244-2113-8
Electronic_ISBN
978-1-4244-2114-5
Type
conf
DOI
10.1109/WCICA.2008.4593072
Filename
4593072
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