Autoregressive Integrated Moving Average Model(Arima)For Forecasting Wind Speed.
For proper planning and efficient utilization of wind energy, wind speed predictions are important. In the present study the hourly wind speed data from 1995 to 2001 at three meteorological stations at a height of 14 m above the ground level have been analysed for fitting autoregressive integrated...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2003
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| Subjects: | |
| Online Access: | http://eprints.usm.my/11158/ http://eprints.usm.my/11158/1/Autoregressive_Integrated_Moving_Average_Model_%28ARIMA%29_for_Forecasting_Wind_Speed_%28PPKAwam%29.pdf |
| _version_ | 1848871165151412224 |
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| author | A, Shamshad W. M. A, Wan Hussin M. A, Bawadi S. A, Mohd. Sanusi |
| author_facet | A, Shamshad W. M. A, Wan Hussin M. A, Bawadi S. A, Mohd. Sanusi |
| author_sort | A, Shamshad |
| building | USM Institutional Repository |
| collection | Online Access |
| description | For proper planning and efficient utilization of wind energy, wind speed predictions are important. In the present study the hourly wind speed data from 1995 to 2001 at three meteorological stations at a height of 14 m above the
ground level have been analysed for fitting autoregressive integrated moving average (ARIMA) models.
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| first_indexed | 2025-11-15T15:35:44Z |
| format | Conference or Workshop Item |
| id | usm-11158 |
| institution | Universiti Sains Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T15:35:44Z |
| publishDate | 2003 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | usm-111582013-07-13T04:37:03Z http://eprints.usm.my/11158/ Autoregressive Integrated Moving Average Model(Arima)For Forecasting Wind Speed. A, Shamshad W. M. A, Wan Hussin M. A, Bawadi S. A, Mohd. Sanusi TA1-2040 Engineering (General). Civil engineering (General) For proper planning and efficient utilization of wind energy, wind speed predictions are important. In the present study the hourly wind speed data from 1995 to 2001 at three meteorological stations at a height of 14 m above the ground level have been analysed for fitting autoregressive integrated moving average (ARIMA) models. 2003 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.usm.my/11158/1/Autoregressive_Integrated_Moving_Average_Model_%28ARIMA%29_for_Forecasting_Wind_Speed_%28PPKAwam%29.pdf A, Shamshad and W. M. A, Wan Hussin and M. A, Bawadi and S. A, Mohd. Sanusi (2003) Autoregressive Integrated Moving Average Model(Arima)For Forecasting Wind Speed. In: ICAST. |
| spellingShingle | TA1-2040 Engineering (General). Civil engineering (General) A, Shamshad W. M. A, Wan Hussin M. A, Bawadi S. A, Mohd. Sanusi Autoregressive Integrated Moving Average Model(Arima)For Forecasting Wind Speed. |
| title | Autoregressive Integrated Moving Average Model(Arima)For Forecasting Wind Speed.
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| title_full | Autoregressive Integrated Moving Average Model(Arima)For Forecasting Wind Speed.
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| title_fullStr | Autoregressive Integrated Moving Average Model(Arima)For Forecasting Wind Speed.
|
| title_full_unstemmed | Autoregressive Integrated Moving Average Model(Arima)For Forecasting Wind Speed.
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| title_short | Autoregressive Integrated Moving Average Model(Arima)For Forecasting Wind Speed.
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| title_sort | autoregressive integrated moving average model(arima)for forecasting wind speed. |
| topic | TA1-2040 Engineering (General). Civil engineering (General) |
| url | http://eprints.usm.my/11158/ http://eprints.usm.my/11158/1/Autoregressive_Integrated_Moving_Average_Model_%28ARIMA%29_for_Forecasting_Wind_Speed_%28PPKAwam%29.pdf |