AUTOREGRESSIVE MODELS IN SHORT TERM LOAD FORECAST: A COMPARISON OF AR AND ARMA
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 au...
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The International Institute of Forecasters
2008
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my.utp.eprints.61632017-01-19T08:26:25Z AUTOREGRESSIVE MODELS IN SHORT TERM LOAD FORECAST: A COMPARISON OF AR AND ARMA Baharudin , Z. 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 National Grid of Malaysia and load demand in New South Wales, Australia. The accuracy of discussed methods are obtained and reported. The International Institute of Forecasters 2008 Conference or Workshop Item PeerReviewed application/pdf http://eprints.utp.edu.my/6163/1/isf2008.pdf http://forecasters.org/isf/pdfs/ISF2008_Proceedings.pdf Baharudin , Z. (2008) AUTOREGRESSIVE MODELS IN SHORT TERM LOAD FORECAST: A COMPARISON OF AR AND ARMA. In: The 28th International Symposium on Forecasting, 22nd to 25th June 2008, Nice, France. http://eprints.utp.edu.my/6163/ |
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Malaysia |
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TK Electrical engineering. Electronics Nuclear engineering |
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TK Electrical engineering. Electronics Nuclear engineering Baharudin , Z. AUTOREGRESSIVE MODELS IN SHORT TERM LOAD FORECAST: A COMPARISON OF AR AND ARMA |
| 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 National Grid of Malaysia and load demand in
New South Wales, Australia. The accuracy of discussed
methods are obtained and reported. |
| format |
Conference or Workshop Item |
| author |
Baharudin , Z. |
| author_facet |
Baharudin , Z. |
| author_sort |
Baharudin , Z. |
| title |
AUTOREGRESSIVE MODELS IN SHORT TERM LOAD FORECAST: A
COMPARISON OF AR AND ARMA |
| title_short |
AUTOREGRESSIVE MODELS IN SHORT TERM LOAD FORECAST: A
COMPARISON OF AR AND ARMA |
| title_full |
AUTOREGRESSIVE MODELS IN SHORT TERM LOAD FORECAST: A
COMPARISON OF AR AND ARMA |
| title_fullStr |
AUTOREGRESSIVE MODELS IN SHORT TERM LOAD FORECAST: A
COMPARISON OF AR AND ARMA |
| title_full_unstemmed |
AUTOREGRESSIVE MODELS IN SHORT TERM LOAD FORECAST: A
COMPARISON OF AR AND ARMA |
| title_sort |
autoregressive models in short term load forecast: a
comparison of ar and arma |
| publisher |
The International Institute of Forecasters |
| publishDate |
2008 |
| url |
http://eprints.utp.edu.my/6163/1/isf2008.pdf http://forecasters.org/isf/pdfs/ISF2008_Proceedings.pdf http://eprints.utp.edu.my/6163/ |
| _version_ |
1738655466979852288 |