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Load prediction using artificial neural network (ANN): article / Mohammad Tariq Zakaria

The purpose of this project is to study and develop an artificial neural network (ANN) model specifically for short term load prediction. A nonlinear load model is proposed and several structures of ANN for short term load prediction are tested. The outputs obtained were the predicted full day load...

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Main Author: Zakaria, Mohammad Tariq
Format: Article
Language:English
Published: 2012
Subjects:
TK Electrical engineering. Electronics. Nuclear engineering
Online Access:https://ir.uitm.edu.my/id/eprint/108781/1/108781.pdf
https://ir.uitm.edu.my/id/eprint/108781/
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spelling my.uitm.ir.1087812025-01-11T16:19:38Z https://ir.uitm.edu.my/id/eprint/108781/ Load prediction using artificial neural network (ANN): article / Mohammad Tariq Zakaria Zakaria, Mohammad Tariq TK Electrical engineering. Electronics. Nuclear engineering The purpose of this project is to study and develop an artificial neural network (ANN) model specifically for short term load prediction. A nonlinear load model is proposed and several structures of ANN for short term load prediction are tested. The outputs obtained were the predicted full day load demand for the next day or week. The ANN model has 4 layers; an input layer, two hidden layers and an output layer. The number of inputs was 6; while the number of hidden layer neurons was varied for different performance of the network. The output layer has 24 neurons. The ANN model was trained for over 5 weeks. A mean absolute percentage errors of 2.52% was achieved when the trained network was tested on random for one week's data. 2012 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/108781/1/108781.pdf Load prediction using artificial neural network (ANN): article / Mohammad Tariq Zakaria. (2012) pp. 1-5.
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
topic TK Electrical engineering. Electronics. Nuclear engineering
spellingShingle TK Electrical engineering. Electronics. Nuclear engineering
Zakaria, Mohammad Tariq
Load prediction using artificial neural network (ANN): article / Mohammad Tariq Zakaria
description The purpose of this project is to study and develop an artificial neural network (ANN) model specifically for short term load prediction. A nonlinear load model is proposed and several structures of ANN for short term load prediction are tested. The outputs obtained were the predicted full day load demand for the next day or week. The ANN model has 4 layers; an input layer, two hidden layers and an output layer. The number of inputs was 6; while the number of hidden layer neurons was varied for different performance of the network. The output layer has 24 neurons. The ANN model was trained for over 5 weeks. A mean absolute percentage errors of 2.52% was achieved when the trained network was tested on random for one week's data.
format Article
author Zakaria, Mohammad Tariq
author_facet Zakaria, Mohammad Tariq
author_sort Zakaria, Mohammad Tariq
title Load prediction using artificial neural network (ANN): article / Mohammad Tariq Zakaria
title_short Load prediction using artificial neural network (ANN): article / Mohammad Tariq Zakaria
title_full Load prediction using artificial neural network (ANN): article / Mohammad Tariq Zakaria
title_fullStr Load prediction using artificial neural network (ANN): article / Mohammad Tariq Zakaria
title_full_unstemmed Load prediction using artificial neural network (ANN): article / Mohammad Tariq Zakaria
title_sort load prediction using artificial neural network (ann): article / mohammad tariq zakaria
publishDate 2012
url https://ir.uitm.edu.my/id/eprint/108781/1/108781.pdf
https://ir.uitm.edu.my/id/eprint/108781/
_version_ 1821110495091884032
score 13.235796

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