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Adaptive power signal prediction by non-fixed neural network model with modified fuzzy back-propagation learning algorithm

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5 Author(s)
Rey-Chue Hwang ; Dept. of Electr. Eng., Kaohsiung Polytech. Inst., Taiwan ; Huang-Chu Huang ; Yu-Ju Chen ; Jer-Guang Hsich
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The authors present a nonfixed artificial neural network (ANN) model with a modified fuzzy back-propagation (BP) learning rule for power signal prediction. This model is designed to avoid the ill-learning of ANN training caused by improper information. Taipower 1990-1993 loads and relevant weather data are implemented. The experiments of next day peak load forecasting and one-day-ahead hourly load forecasting are made in this study. Some experiments using conventional BP ANN approach are also performed as a comparison with the proposed model

Published in:

Information, Communications and Signal Processing, 1997. ICICS., Proceedings of 1997 International Conference on

Date of Conference:

9-12 Sep 1997