Stochastic Generation Of Hourly Wind Speed Time Series.

In the present study hourly wind speed data of Kuala Terengganu in Peninsular Malaysia are simulated by using transition matrix approach of Markovian process. The wind speed time series is divided into various states based on certain criteria.

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Bibliographic Details
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/11468/1/Stochastic_Generation_of_Hourly_Wind_Speed_Time_Series_%28PPK_Awam%29.pdf http://eprints.usm.my/11468/
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Institution:	Universiti Sains Malaysia
Language:	English

id	my.usm.eprints.11468
record_format	eprints
spelling	my.usm.eprints.11468 http://eprints.usm.my/11468/ Stochastic Generation Of Hourly Wind Speed Time Series. A, Shamshad W. M. A., Wan Hussin M. A., Bawadi S. A., Mohd. Sanusi TA1-2040 Engineering (General). Civil engineering (General) In the present study hourly wind speed data of Kuala Terengganu in Peninsular Malaysia are simulated by using transition matrix approach of Markovian process. The wind speed time series is divided into various states based on certain criteria. 2003-09 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.usm.my/11468/1/Stochastic_Generation_of_Hourly_Wind_Speed_Time_Series_%28PPK_Awam%29.pdf A, Shamshad and W. M. A., Wan Hussin and M. A., Bawadi and S. A., Mohd. Sanusi (2003) Stochastic Generation Of Hourly Wind Speed Time Series. In: Proceedings of the International Symposium on Renewable Energy: Environment Protection.& Energy Solution for Sustainable Development., 14 - 17 September 2003. , Kuala Lumpur. Malaysia.
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 Stochastic Generation Of Hourly Wind Speed Time Series.
description	In the present study hourly wind speed data of Kuala Terengganu in Peninsular Malaysia are simulated by using transition matrix approach of Markovian process. The wind speed time series is divided into various states based on certain criteria.
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	Stochastic Generation Of Hourly Wind Speed Time Series.
title_short	Stochastic Generation Of Hourly Wind Speed Time Series.
title_full	Stochastic Generation Of Hourly Wind Speed Time Series.
title_fullStr	Stochastic Generation Of Hourly Wind Speed Time Series.
title_full_unstemmed	Stochastic Generation Of Hourly Wind Speed Time Series.
title_sort	stochastic generation of hourly wind speed time series.
publishDate	2003
url	http://eprints.usm.my/11468/1/Stochastic_Generation_of_Hourly_Wind_Speed_Time_Series_%28PPK_Awam%29.pdf http://eprints.usm.my/11468/
_version_	1643701815524458496

Stochastic Generation Of Hourly Wind Speed Time Series.

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