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Abstract

Load forecasting have a very important role. Accuracy in load forcasting helps to stabilize in electricity system (frequency and voltage), assuring balance between producing and using. This paper solves the problem of load forecasing using wavelet network method. The forecasting method using wavelet network combines neural network model, wavelet function and fuzzy logic for short load forecasting in special days. Electricity used in these days is very different to ordinary days. So, if we use the program of ordinary short term forecasting, we will make a very large error. So, we must have a different program for these days. All of codes are programmed using MATLAB 6.5 compiler.



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Article Details

Issue: Vol 10 No 6 (2007)
Page No.: 71-78
Published: Jun 30, 2007
Section: Article
DOI: https://doi.org/10.32508/stdj.v10i6.2794

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Creative Commons License

Copyright: The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 How to Cite
Viet, N., Dung, T., & Thi, N. (2007). WAVELET NETWORK IN SHORTTERM LOAD FORECASTING IN SPECIAL DAYS. Science and Technology Development Journal, 10(6), 71-78. https://doi.org/https://doi.org/10.32508/stdj.v10i6.2794

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