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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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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
https://ir.uitm.edu.my/id/eprint/84574/
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spelling my.uitm.ir.845742024-03-14T08:31:15Z https://ir.uitm.edu.my/id/eprint/84574/ Short term electricity load forecasting using Artificial Neural Network (ANN) / Muhammad Zakwan Mohd Zuki 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 NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/84574/1/84574.pdf Short term electricity load forecasting using Artificial Neural Network (ANN) / Muhammad Zakwan Mohd Zuki. (2014) Degree thesis, thesis, Universiti Teknologi MARA (UiTM).
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
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
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
publishDate 2014
url https://ir.uitm.edu.my/id/eprint/84574/1/84574.pdf
https://ir.uitm.edu.my/id/eprint/84574/
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score 13.18916

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