Cover Image

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.

Saved in:
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/
Tags: Add Tag
No Tags, Be the first to tag this record!
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
score 13.211869

Similar Items