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...

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Main Authors:	A, Shamshad, W. M. A, Wan Hussin, M. A, Bawadi, S. A, Mohd. Sanusi
Format:	Conference or Workshop Item
Language:	English
Published:	2003
Subjects:	TA1-2040 Engineering (General). Civil engineering (General)
Online Access:	http://eprints.usm.my/11158/1/Autoregressive_Integrated_Moving_Average_Model_%28ARIMA%29_for_Forecasting_Wind_Speed_%28PPKAwam%29.pdf http://eprints.usm.my/11158/
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Institution:	Universiti Sains Malaysia
Language:	English

id	my.usm.eprints.11158
record_format	eprints
spelling	my.usm.eprints.11158 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.
institution	Universiti Sains Malaysia
building	Hamzah Sendut Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Sains Malaysia
content_source	USM Institutional Repository
url_provider	http://eprints.usm.my/
language	English
topic	TA1-2040 Engineering (General). Civil engineering (General)
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.
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.
format	Conference or Workshop Item
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
title	Autoregressive Integrated Moving Average Model(Arima)For Forecasting Wind Speed.
title_short	Autoregressive Integrated Moving Average Model(Arima)For Forecasting Wind Speed.
title_full	Autoregressive Integrated Moving Average Model(Arima)For Forecasting Wind Speed.
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.
title_sort	autoregressive integrated moving average model(arima)for forecasting wind speed.
publishDate	2003
url	http://eprints.usm.my/11158/1/Autoregressive_Integrated_Moving_Average_Model_%28ARIMA%29_for_Forecasting_Wind_Speed_%28PPKAwam%29.pdf http://eprints.usm.my/11158/
_version_	1643701727682101248

Autoregressive Integrated Moving Average Model(Arima)For Forecasting Wind Speed.

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