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...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Penerbit Akademia Baru
2017
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/19836/1/Principal-Component-Analysis-on-Meteorological-Data-in-UTM-KL.pdf |
| _version_ | 1825811859024904192 |
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| 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 |
| collection | UMP |
| 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. |
| first_indexed | 2024-03-06T12:20:35Z |
| format | Article |
| id | UMPir19836 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:20:35Z |
| publishDate | 2017 |
| publisher | Penerbit Akademia Baru |
| record_format | dspace |
| spelling | UMPir198362018-01-09T07:45:52Z 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. (Published) http://www.akademiabaru.com/doc/progeeV1_P40_46.pdf |
| 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 |
| title | 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_short | Principal Component Analysis on Meteorological Data in
UTM KL |
| title_sort | principal component analysis on meteorological data in utm kl |
| topic | TA Engineering (General). Civil engineering (General) |
| url | http://umpir.ump.edu.my/id/eprint/19836/1/Principal-Component-Analysis-on-Meteorological-Data-in-UTM-KL.pdf |
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