Short term electricity load forecasting using Artificial Neural Network (ANN) / Muhammad Zakwan Mohd Zuki

This paper has presents a study of electricity load forecasting demand by using artificial neural network (ANN). Generally, there are three levels of processing forecasting data using artificial neural network (ANN) which are input layer, hidden layer and output layer. This method was developed usin...

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Bibliographic Details
Main Author:	Mohd Zuki, Muhammad Zakwan
Format:	Thesis
Language:	English
Published:	2014
Online Access:	https://ir.uitm.edu.my/id/eprint/84574/1/84574.pdf
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id	my-uitm-ir.84574
record_format	uketd_dc
spelling	my-uitm-ir.845742024-03-14T08:31:15Z Short term electricity load forecasting using Artificial Neural Network (ANN) / Muhammad Zakwan Mohd Zuki 2014 Mohd Zuki, Muhammad Zakwan This paper has presents a study of electricity load forecasting demand by using artificial neural network (ANN). Generally, there are three levels of processing forecasting data using artificial neural network (ANN) which are input layer, hidden layer and output layer. This method was developed using MATLAB software which produced the accurate result of this load forecasting. Mean Absolute Percentage Error (MAPE) was applied to show the differences between predicted value and actual load data. The study forecasts the amount of consumed in the next 24-hours. Table of historical hourly loads of DUKE, USA from 26th March 2012 until 4th July 2012 was used in this paper. Forecasting load demand is very important for the operation of generating electricity supply companies because it helps to make decisions to generate enough power electric to consumer as well as to control operation of electric usage of the company's infrastructure. 2014 Thesis https://ir.uitm.edu.my/id/eprint/84574/ https://ir.uitm.edu.my/id/eprint/84574/1/84574.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Mat Yasin, Zuhaila
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Mat Yasin, Zuhaila
description	This paper has presents a study of electricity load forecasting demand by using artificial neural network (ANN). Generally, there are three levels of processing forecasting data using artificial neural network (ANN) which are input layer, hidden layer and output layer. This method was developed using MATLAB software which produced the accurate result of this load forecasting. Mean Absolute Percentage Error (MAPE) was applied to show the differences between predicted value and actual load data. The study forecasts the amount of consumed in the next 24-hours. Table of historical hourly loads of DUKE, USA from 26th March 2012 until 4th July 2012 was used in this paper. Forecasting load demand is very important for the operation of generating electricity supply companies because it helps to make decisions to generate enough power electric to consumer as well as to control operation of electric usage of the company's infrastructure.
format	Thesis
qualification_level	Bachelor degree
author	Mohd Zuki, Muhammad Zakwan
spellingShingle	Mohd Zuki, Muhammad Zakwan Short term electricity load forecasting using Artificial Neural Network (ANN) / Muhammad Zakwan Mohd Zuki
author_facet	Mohd Zuki, Muhammad Zakwan
author_sort	Mohd Zuki, Muhammad Zakwan
title	Short term electricity load forecasting using Artificial Neural Network (ANN) / Muhammad Zakwan Mohd Zuki
title_short	Short term electricity load forecasting using Artificial Neural Network (ANN) / Muhammad Zakwan Mohd Zuki
title_full	Short term electricity load forecasting using Artificial Neural Network (ANN) / Muhammad Zakwan Mohd Zuki
title_fullStr	Short term electricity load forecasting using Artificial Neural Network (ANN) / Muhammad Zakwan Mohd Zuki
title_full_unstemmed	Short term electricity load forecasting using Artificial Neural Network (ANN) / Muhammad Zakwan Mohd Zuki
title_sort	short term electricity load forecasting using artificial neural network (ann) / muhammad zakwan mohd zuki
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2014
url	https://ir.uitm.edu.my/id/eprint/84574/1/84574.pdf
_version_	1794192023641653248

Short term electricity load forecasting using Artificial Neural Network (ANN) / Muhammad Zakwan Mohd Zuki

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