Autoregressive method in short term load forecast
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 the methods of autoregressive (AR) Burg's and modified cova...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
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2008
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| Subjects: | |
| Online Access: | http://scholars.utp.edu.my/id/eprint/377/ http://scholars.utp.edu.my/id/eprint/377/1/paper.pdf |
| _version_ | 1848658970541031424 |
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| author | N.S., Kamel Z., Baharudin |
| author_facet | N.S., Kamel Z., Baharudin |
| author_sort | N.S., Kamel |
| 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 the methods of autoregressive (AR) Burg's and modified covariance (MCOV) in solving a short term load forecast. The methods are tested based on historical load data of New South Wales, Australia. The accuracy of discussed methods are obtained and reported. © 2008 IEEE.
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| first_indexed | 2025-11-13T07:22:59Z |
| format | Conference or Workshop Item |
| id | oai:scholars.utp.edu.my:377 |
| institution | Universiti Teknologi Petronas |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-13T07:22:59Z |
| publishDate | 2008 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:scholars.utp.edu.my:3772017-01-19T08:26:40Z http://scholars.utp.edu.my/id/eprint/377/ Autoregressive method in short term load forecast N.S., Kamel Z., Baharudin 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 the methods of autoregressive (AR) Burg's and modified covariance (MCOV) in solving a short term load forecast. The methods are tested based on historical load data of New South Wales, Australia. The accuracy of discussed methods are obtained and reported. © 2008 IEEE. 2008 Conference or Workshop Item NonPeerReviewed application/pdf en http://scholars.utp.edu.my/id/eprint/377/1/paper.pdf N.S., Kamel and Z., Baharudin (2008) Autoregressive method in short term load forecast. In: 2008 IEEE 2nd International Power and Energy Conference, PECon 2008, 1 December 2008 through 3 December 2008, Johor Baharu. http://www.scopus.com/inward/record.url?eid=2-s2.0-63249105763&partnerID=40&md5=1b6a438dc59e7bf8ad5b25c7f2adc19b |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering N.S., Kamel Z., Baharudin Autoregressive method in short term load forecast |
| title | Autoregressive method in short term load forecast
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| title_full | Autoregressive method in short term load forecast
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| title_fullStr | Autoregressive method in short term load forecast
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| title_full_unstemmed | Autoregressive method in short term load forecast
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| title_short | Autoregressive method in short term load forecast
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| title_sort | autoregressive method in short term load forecast |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://scholars.utp.edu.my/id/eprint/377/ http://scholars.utp.edu.my/id/eprint/377/ http://scholars.utp.edu.my/id/eprint/377/1/paper.pdf |