ARMA versus AR 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 a comparison of autoregressive moving average (ARMA) and aut...
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2008
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my.utp.eprints.61522017-01-19T08:26:25Z ARMA versus AR in Short Term Load Forecast Baharudin , Z. 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 comparison of autoregressive moving average (ARMA) and autoregressive (AR) Burg’s and modified covariance (MCOV) methods in solving one week ahead of short term load forecast. The methods are tested based from historical load data of New South Wales, Australia. The accuracy of discussed methods are obtained and reported. 2008 Conference or Workshop Item PeerReviewed application/pdf http://eprints.utp.edu.my/6152/1/peoco-2041-final.pdf Baharudin , Z. and Kamel , Nidal (2008) ARMA versus AR in Short Term Load Forecast. In: 2nd International Power Engineering & Optimization Conference, 4th to 5th June 2008, Shah Alam, Malaysia. http://eprints.utp.edu.my/6152/ |
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TK Electrical engineering. Electronics Nuclear engineering |
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TK Electrical engineering. Electronics Nuclear engineering Baharudin , Z. Kamel , Nidal ARMA versus AR in Short Term Load Forecast |
| 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 comparison
of autoregressive moving average (ARMA) and autoregressive
(AR) Burg’s and modified covariance (MCOV) methods in
solving one week ahead of short term load forecast. The methods
are tested based from historical load data of New South Wales,
Australia. The accuracy of discussed methods are obtained and
reported. |
| format |
Conference or Workshop Item |
| author |
Baharudin , Z. Kamel , Nidal |
| author_facet |
Baharudin , Z. Kamel , Nidal |
| author_sort |
Baharudin , Z. |
| title |
ARMA versus AR in Short Term Load Forecast |
| title_short |
ARMA versus AR in Short Term Load Forecast |
| title_full |
ARMA versus AR in Short Term Load Forecast |
| title_fullStr |
ARMA versus AR in Short Term Load Forecast |
| title_full_unstemmed |
ARMA versus AR in Short Term Load Forecast |
| title_sort |
arma versus ar in short term load forecast |
| publishDate |
2008 |
| url |
http://eprints.utp.edu.my/6152/1/peoco-2041-final.pdf http://eprints.utp.edu.my/6152/ |
| _version_ |
1738655466153574400 |