Title :
Research on the mid-long term electric load forecasting based on fuzzy rules
Author :
Zhang, Qian ; Liu, Tongna
Author_Institution :
Dept. of Economic Manage., North China Electr. Power Univ., Baoding, China
Abstract :
This paper proposes a new method for mid-long term load forecasting-fuzzy rules by genetic algorithms based on Takagi-Sugeno Fuzzy Logic System, and establishing the fuzzy model for load forecasting. lt can be seen from the example this method can improve effectively the forecast accuracy and speed. It can be applied to the mid-long term electric load forecasting.
Keywords :
fuzzy set theory; genetic algorithms; load forecasting; Takagi-Sugeno fuzzy logic system; fuzzy rules; genetic algorithms; mid-long term electric load forecasting; Fuzzy logic; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Genetic algorithms; Load forecasting; Power generation economics; Power system economics; Space technology; Takagi-Sugeno model; Fuzzy Rules; Load Forecasting; Takagi-Sugeno;
Conference_Titel :
Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5263-7
Electronic_ISBN :
978-1-4244-5265-1
DOI :
10.1109/ICIME.2010.5477533
