Principal Component Analysis on Meteorological Data in UTM KL

The high usage of fossil fuel to produce energy for the increasing demand of energy has been the primary culprit behind global warming. Renewable energies such as solar energy can be a solution in preventing the situation from worsening. Solar energy can be harnessed using available system such a...

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Main Authors:	Tan, Lit Ken, Ong, Sie Meng, Lee, Kee Quen, Gan, Yee Siang, Goh, Chien Yong, Tey, Wah Yen, Ngien, S. K.
Format:	Article
Language:	English
Published:	Penerbit Akademia Baru 2017
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/19836/ http://umpir.ump.edu.my/id/eprint/19836/ http://umpir.ump.edu.my/id/eprint/19836/1/Principal-Component-Analysis-on-Meteorological-Data-in-UTM-KL.pdf

id	ump-19836
recordtype	eprints
spelling	ump-198362018-01-09T07:45:52Z http://umpir.ump.edu.my/id/eprint/19836/ Principal Component Analysis on Meteorological Data in UTM KL Tan, Lit Ken Ong, Sie Meng Lee, Kee Quen Gan, Yee Siang Goh, Chien Yong Tey, Wah Yen Ngien, S. K. TA Engineering (General). Civil engineering (General) The high usage of fossil fuel to produce energy for the increasing demand of energy has been the primary culprit behind global warming. Renewable energies such as solar energy can be a solution in preventing the situation from worsening. Solar energy can be harnessed using available system such as solar thermal cogeneration systems. However, for the system to function smoothly and continuously, knowledge on solar radiation’s intensity several minutes in advance are required. Though there exist various solar radiation forecast models, most of the existing models requires high computational time. In this research, principal component analysis were applied on the meteorological data collected in Universiti Teknologi Malaysia Kuala Lumpur to reduce the dimension of the data. Dominant factors obtained from the analysis is expected to be useful for the development of solar radiation forecast model. Penerbit Akademia Baru 2017-06-05 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/19836/1/Principal-Component-Analysis-on-Meteorological-Data-in-UTM-KL.pdf Tan, Lit Ken and Ong, Sie Meng and Lee, Kee Quen and Gan, Yee Siang and Goh, Chien Yong and Tey, Wah Yen and Ngien, S. K. (2017) Principal Component Analysis on Meteorological Data in UTM KL. Progress in Energy and Environment, 1. pp. 40-46. ISSN 2600-7762 http://www.akademiabaru.com/doc/progeeV1_P40_46.pdf
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TA Engineering (General). Civil engineering (General)
spellingShingle	TA Engineering (General). Civil engineering (General) Tan, Lit Ken Ong, Sie Meng Lee, Kee Quen Gan, Yee Siang Goh, Chien Yong Tey, Wah Yen Ngien, S. K. Principal Component Analysis on Meteorological Data in UTM KL
description	The high usage of fossil fuel to produce energy for the increasing demand of energy has been the primary culprit behind global warming. Renewable energies such as solar energy can be a solution in preventing the situation from worsening. Solar energy can be harnessed using available system such as solar thermal cogeneration systems. However, for the system to function smoothly and continuously, knowledge on solar radiation’s intensity several minutes in advance are required. Though there exist various solar radiation forecast models, most of the existing models requires high computational time. In this research, principal component analysis were applied on the meteorological data collected in Universiti Teknologi Malaysia Kuala Lumpur to reduce the dimension of the data. Dominant factors obtained from the analysis is expected to be useful for the development of solar radiation forecast model.
format	Article
author	Tan, Lit Ken Ong, Sie Meng Lee, Kee Quen Gan, Yee Siang Goh, Chien Yong Tey, Wah Yen Ngien, S. K.
author_facet	Tan, Lit Ken Ong, Sie Meng Lee, Kee Quen Gan, Yee Siang Goh, Chien Yong Tey, Wah Yen Ngien, S. K.
author_sort	Tan, Lit Ken
title	Principal Component Analysis on Meteorological Data in UTM KL
title_short	Principal Component Analysis on Meteorological Data in UTM KL
title_full	Principal Component Analysis on Meteorological Data in UTM KL
title_fullStr	Principal Component Analysis on Meteorological Data in UTM KL
title_full_unstemmed	Principal Component Analysis on Meteorological Data in UTM KL
title_sort	principal component analysis on meteorological data in utm kl
publisher	Penerbit Akademia Baru
publishDate	2017
url	http://umpir.ump.edu.my/id/eprint/19836/ http://umpir.ump.edu.my/id/eprint/19836/ http://umpir.ump.edu.my/id/eprint/19836/1/Principal-Component-Analysis-on-Meteorological-Data-in-UTM-KL.pdf
first_indexed	2023-09-18T22:28:26Z
last_indexed	2023-09-18T22:28:26Z
_version_	1777416123352875008

Principal Component Analysis on Meteorological Data in UTM KL

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