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
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;
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
DOI :
10.1109/WCICA.2008.4593072
