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
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;
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
DOI :
10.1109/WKDD.2010.89
