Title :
Load forecasting by fuzzy neural network in Box-Jenkins models
Author :
Tang, W.K. ; Wong, M.H. ; Wong, Y.K. ; Chung, T.S.
Author_Institution :
Dept. of Electr. Eng., Hong Kong Polytech., Hong Kong
Abstract :
In this paper, the use of fuzzy neural network (FNN) to identify appropriate Box-Jenkins models for the electricity load forecasting in Hong Kong is presented. FNN is found to be suitable for identifying the Box-Jenkins model. By using such model, one can forecast the load accurately
Keywords :
autoregressive moving average processes; fuzzy neural nets; load forecasting; power engineering computing; time series; ARMA process; Box-Jenkins models; Hong Kong; fuzzy neural network; load forecasting; time series; Artificial neural networks; Fuzzy logic; Fuzzy neural networks; Fuzzy systems; Humans; Intelligent networks; Load forecasting; Power system modeling; Power system planning; Predictive models;
Conference_Titel :
Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4778-1
DOI :
10.1109/ICSMC.1998.728145
