DocumentCode
1864814
Title
Research on the Short-term Electric Load Forecasting Based on Fuzzy Rules
Author
Liu, Tongna ; Zhang, Qian
Author_Institution
Dept. of Electron. & Commun. Eng., North China Electr. Power Univ., Baoding, China
fYear
2010
fDate
9-10 Jan. 2010
Firstpage
179
Lastpage
181
Abstract
This paper proposes a new method for load forecasting-fuzzy rules by genetic algorithms based on Takagi-Sugeno Fuzzy Logic System, and establishing the fuzzy model for load forecasting. It can be seen from the example this method can improve effectively the forecast accuracy and speed. It can be applied to the short-term electric load forecasting.
Keywords
fuzzy logic; fuzzy set theory; genetic algorithms; load forecasting; power engineering computing; Takagi-Sugeno fuzzy logic system; fuzzy rules; genetic algorithm; short-term electric load forecasting; Economic forecasting; Fuzzy logic; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Genetic algorithms; Load forecasting; Mathematical model; Space technology; Takagi-Sugeno model;
fLanguage
English
Publisher
ieee
Conference_Titel
Knowledge Discovery and Data Mining, 2010. WKDD '10. Third International Conference on
Conference_Location
Phuket
Print_ISBN
978-1-4244-5397-9
Electronic_ISBN
978-1-4244-5398-6
Type
conf
DOI
10.1109/WKDD.2010.89
Filename
5432676
Link To Document