Title :
The Daily 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 daily electric load forecasting.
Keywords :
fuzzy logic; fuzzy systems; genetic algorithms; load forecasting; Takagi-Sugeno fuzzy logic system; daily electric load forecasting; fuzzy rules; genetic algorithms; Fuzzy logic; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Genetic algorithms; Load forecasting; Power system modeling; Predictive models; Space technology; Takagi-Sugeno model;
Conference_Titel :
Computer Modeling and Simulation, 2010. ICCMS '10. Second International Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-1-4244-5642-0
Electronic_ISBN :
978-1-4244-5643-7
DOI :
10.1109/ICCMS.2010.327
