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WAVELET NETWORK IN SHORTTERM LOAD FORECASTING IN SPECIAL DAYS

Nguyen Hoang Viet 1
Tran Anh Dung 1
Nguyen Quang Thi 2
Volume & Issue: Vol. 10 No. 6 (2007) | Page No.: 71-78 | DOI: 10.32508/stdj.v10i6.2794
Published: 2007-06-30

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Copyright The Author(s) 2023. This article is published with open access by Vietnam National University, Ho Chi Minh city, Vietnam. This article is distributed under the terms of the Creative Commons Attribution License (CC-BY 4.0) which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. 

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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