Seasonal wind speed distribution analysis in west coast of Malaysia
Wind in Malaysia varies according to the Northeast and Southwest monsoon. The transition period of the two monsoons, April and October inter-monsoon also influence the wind in Malaysia. The determination of the fit wind speed distribution has become a vital process in wind energy estimation and coas...
Published in: | ICSSBE 2012 - Proceedings, 2012 International Conference on Statistics in Science, Business and Engineering: "Empowering Decision Making with Statistical Sciences" |
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2-s2.0-84872908055 Noratiqah M.D.S.; Asmat A.; Mansor S. Seasonal wind speed distribution analysis in west coast of Malaysia 2012 ICSSBE 2012 - Proceedings, 2012 International Conference on Statistics in Science, Business and Engineering: "Empowering Decision Making with Statistical Sciences" 10.1109/ICSSBE.2012.6396556 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84872908055&doi=10.1109%2fICSSBE.2012.6396556&partnerID=40&md5=b495a3f3d328f3d81f1462291b7bbb6d Wind in Malaysia varies according to the Northeast and Southwest monsoon. The transition period of the two monsoons, April and October inter-monsoon also influence the wind in Malaysia. The determination of the fit wind speed distribution has become a vital process in wind energy estimation and coastal engineering application. However, previous study focuses only on the fit annual distribution instead of the fit seasonal distribution of wind speed. The fit seasonal distribution of wind can leads to the proper installation of wind energy technology devices, the wind power generation and the pattern of the wind itself. Thus, this paper aims to determine the best fir distribution of monsoon and inter-monsoon occurred in Malaysia every year. The distribution that was tested is the Gamma, Log-normal and Weibull distribution model hence, the fit distribution was determined using Kolmogorov-Smirnov goodness-of-fit test. It was found that the Log-normal distribution fits best with all monsoon and inter-monsoon in Malaysia. © 2012 IEEE. English Conference paper All Open Access; Green Open Access |
author |
Noratiqah M.D.S.; Asmat A.; Mansor S. |
spellingShingle |
Noratiqah M.D.S.; Asmat A.; Mansor S. Seasonal wind speed distribution analysis in west coast of Malaysia |
author_facet |
Noratiqah M.D.S.; Asmat A.; Mansor S. |
author_sort |
Noratiqah M.D.S.; Asmat A.; Mansor S. |
title |
Seasonal wind speed distribution analysis in west coast of Malaysia |
title_short |
Seasonal wind speed distribution analysis in west coast of Malaysia |
title_full |
Seasonal wind speed distribution analysis in west coast of Malaysia |
title_fullStr |
Seasonal wind speed distribution analysis in west coast of Malaysia |
title_full_unstemmed |
Seasonal wind speed distribution analysis in west coast of Malaysia |
title_sort |
Seasonal wind speed distribution analysis in west coast of Malaysia |
publishDate |
2012 |
container_title |
ICSSBE 2012 - Proceedings, 2012 International Conference on Statistics in Science, Business and Engineering: "Empowering Decision Making with Statistical Sciences" |
container_volume |
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container_issue |
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doi_str_mv |
10.1109/ICSSBE.2012.6396556 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84872908055&doi=10.1109%2fICSSBE.2012.6396556&partnerID=40&md5=b495a3f3d328f3d81f1462291b7bbb6d |
description |
Wind in Malaysia varies according to the Northeast and Southwest monsoon. The transition period of the two monsoons, April and October inter-monsoon also influence the wind in Malaysia. The determination of the fit wind speed distribution has become a vital process in wind energy estimation and coastal engineering application. However, previous study focuses only on the fit annual distribution instead of the fit seasonal distribution of wind speed. The fit seasonal distribution of wind can leads to the proper installation of wind energy technology devices, the wind power generation and the pattern of the wind itself. Thus, this paper aims to determine the best fir distribution of monsoon and inter-monsoon occurred in Malaysia every year. The distribution that was tested is the Gamma, Log-normal and Weibull distribution model hence, the fit distribution was determined using Kolmogorov-Smirnov goodness-of-fit test. It was found that the Log-normal distribution fits best with all monsoon and inter-monsoon in Malaysia. © 2012 IEEE. |
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issn |
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language |
English |
format |
Conference paper |
accesstype |
All Open Access; Green Open Access |
record_format |
scopus |
collection |
Scopus |
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1809677913792970752 |