One Week Ahead Short Term Load Forecasting

Short-term load forecasting plays an important role in planning and operation of power system. The accuracy of this forecasted value is necessary for economically efficient operation and also for effective control. This paper describes a method of autoregressive Burg in solving one week ahead of sho...

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Main Author: Kamel , Nidal
Format: Article
Published: 2007
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Online Access:http://eprints.utp.edu.my/5490/1/582-117.pdf
http://eprints.utp.edu.my/5490/
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Institution: Universiti Teknologi Petronas
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spelling my.utp.eprints.54902017-01-19T08:26:54Z One Week Ahead Short Term Load Forecasting Kamel , Nidal TK Electrical engineering. Electronics Nuclear engineering Short-term load forecasting plays an important role in planning and operation of power system. The accuracy of this forecasted value is necessary for economically efficient operation and also for effective control. This paper describes a method of autoregressive Burg in solving one week ahead of short term load forecasting. The proposed method is tested based from historical load data of National Grid of Malaysia and load demand in New South Wales, Australia. The accuracy of proposed method, i.e., the forecast error, which is the difference between the forecast value and actual value of the load, is obtained and reported. 2007-08-29 Article PeerReviewed application/pdf http://eprints.utp.edu.my/5490/1/582-117.pdf Kamel , Nidal (2007) One Week Ahead Short Term Load Forecasting. The Seventh IASTED European Conference on Power and Energy Systems (EuroPES 2007) . http://eprints.utp.edu.my/5490/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Kamel , Nidal
One Week Ahead Short Term Load Forecasting
description Short-term load forecasting plays an important role in planning and operation of power system. The accuracy of this forecasted value is necessary for economically efficient operation and also for effective control. This paper describes a method of autoregressive Burg in solving one week ahead of short term load forecasting. The proposed method is tested based from historical load data of National Grid of Malaysia and load demand in New South Wales, Australia. The accuracy of proposed method, i.e., the forecast error, which is the difference between the forecast value and actual value of the load, is obtained and reported.
format Article
author Kamel , Nidal
author_facet Kamel , Nidal
author_sort Kamel , Nidal
title One Week Ahead Short Term Load Forecasting
title_short One Week Ahead Short Term Load Forecasting
title_full One Week Ahead Short Term Load Forecasting
title_fullStr One Week Ahead Short Term Load Forecasting
title_full_unstemmed One Week Ahead Short Term Load Forecasting
title_sort one week ahead short term load forecasting
publishDate 2007
url http://eprints.utp.edu.my/5490/1/582-117.pdf
http://eprints.utp.edu.my/5490/
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