SHORT TERM LOAD FORECAST USING BURG AUTOREGRESSIVE TECHNIQUE

SHORT TERM LOAD FORECAST USING BURG AUTOREGRESSIVE TECHNIQUE

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
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utp.edu.my/5491/1/04658519.pdf
http://eprints.utp.edu.my/5491/
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Institution: Universiti Teknologi Petronas
id my.utp.eprints.5491
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spelling my.utp.eprints.54912017-01-19T08:26:52Z SHORT TERM LOAD FORECAST USING BURG AUTOREGRESSIVE TECHNIQUE 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 Malaysia Grid system. 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. 2007-11 Article PeerReviewed application/pdf http://eprints.utp.edu.my/5491/1/04658519.pdf Kamel , Nidal (2007) SHORT TERM LOAD FORECAST USING BURG AUTOREGRESSIVE TECHNIQUE. International Conference on Intelligent and Advanced Systems 2007 . pp. 912-916. http://eprints.utp.edu.my/5491/
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
SHORT TERM LOAD FORECAST USING BURG AUTOREGRESSIVE TECHNIQUE
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 Malaysia Grid system. 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 SHORT TERM LOAD FORECAST USING BURG AUTOREGRESSIVE TECHNIQUE
title_short SHORT TERM LOAD FORECAST USING BURG AUTOREGRESSIVE TECHNIQUE
title_full SHORT TERM LOAD FORECAST USING BURG AUTOREGRESSIVE TECHNIQUE
title_fullStr SHORT TERM LOAD FORECAST USING BURG AUTOREGRESSIVE TECHNIQUE
title_full_unstemmed SHORT TERM LOAD FORECAST USING BURG AUTOREGRESSIVE TECHNIQUE
title_sort short term load forecast using burg autoregressive technique
publishDate 2007
url http://eprints.utp.edu.my/5491/1/04658519.pdf
http://eprints.utp.edu.my/5491/
_version_ 1738655409710825472

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