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:
Main Authors: | , , , |
---|---|
格式: | Conference or Workshop Item |
語言: | English |
出版: |
2003
|
主題: | |
在線閱讀: | http://eprints.usm.my/11468/1/Stochastic_Generation_of_Hourly_Wind_Speed_Time_Series_%28PPK_Awam%29.pdf http://eprints.usm.my/11468/ |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
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 |
13.250246 |