DocumentCode
2498808
Title
A Fuzzy Rules and Wavelet Neural Network Method for Mid-long-term Electric Load Forecasting
Author
Zhan, Qian ; Liu, Tongna
Author_Institution
Dept. of Economic Manage., North China Electr. Power Univ., Baoding, China
fYear
2010
fDate
23-25 April 2010
Firstpage
442
Lastpage
446
Abstract
This paper put forward a new method of the fuzzy rules and wavelet neural network model for mid-long term load forecasting. The neural call function is basis of nonlinear wavelets. We overcome the shortcoming of single train set of fuzzy rules. It can be seen from the example this method can improve effectively the forecast accuracy and speed. The forecast model was tested and the result showed that it was an effective way to forecast mid-long term electric load.
Keywords
fuzzy set theory; load forecasting; power engineering computing; wavelet transforms; electric load forecasting; fuzzy rules; neural call function; nonlinear wavelets; wavelet neural network method; Fuzzy logic; Fuzzy neural networks; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Load forecasting; Neural networks; Power system modeling; Predictive models; Takagi-Sugeno model; electric Load Forecasting; fuzzy rule;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Network Technology (ICCNT), 2010 Second International Conference on
Conference_Location
Bangkok
Print_ISBN
978-0-7695-4042-9
Electronic_ISBN
978-1-4244-6962-8
Type
conf
DOI
10.1109/ICCNT.2010.106
Filename
5474460
Link To Document