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 Authors: Z., Baharudin, N.S., Kamel
Format: Conference or Workshop Item
Language:English
Published: 2007
Subjects:
Online Access:http://scholars.utp.edu.my/id/eprint/467/
http://scholars.utp.edu.my/id/eprint/467/1/paper.pdf
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author Z., Baharudin
N.S., Kamel
author_facet Z., Baharudin
N.S., Kamel
author_sort Z., Baharudin
building UTP Institutional Repository
collection Online Access
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. ©2007 IEEE.
first_indexed 2025-11-13T07:23:22Z
format Conference or Workshop Item
id oai:scholars.utp.edu.my:467
institution Universiti Teknologi Petronas
institution_category Local University
language English
last_indexed 2025-11-13T07:23:22Z
publishDate 2007
recordtype eprints
repository_type Digital Repository
spelling oai:scholars.utp.edu.my:4672017-01-19T08:27:16Z http://scholars.utp.edu.my/id/eprint/467/ Short term load forecast using burg autoregressive technique Z., Baharudin N.S., Kamel 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 IEEE. 2007 Conference or Workshop Item NonPeerReviewed application/pdf en http://scholars.utp.edu.my/id/eprint/467/1/paper.pdf Z., Baharudin and N.S., Kamel (2007) Short term load forecast using burg autoregressive technique. In: 2007 International Conference on Intelligent and Advanced Systems, ICIAS 2007, 25 November 2007 through 28 November 2007, Kuala Lumpur. http://www.scopus.com/inward/record.url?eid=2-s2.0-58049108070&partnerID=40&md5=36e2647eca72974ea53c4580ae5adb61
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Z., Baharudin
N.S., Kamel
Short term load forecast using burg autoregressive technique
title 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_short Short term load forecast using burg autoregressive technique
title_sort short term load forecast using burg autoregressive technique
topic TK Electrical engineering. Electronics Nuclear engineering
url http://scholars.utp.edu.my/id/eprint/467/
http://scholars.utp.edu.my/id/eprint/467/
http://scholars.utp.edu.my/id/eprint/467/1/paper.pdf