Principal Component Analysis on Meteorological Data in UTM KL

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)


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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.

Item Type: Article
Uncontrolled Keywords: Principal component analysis, Meteorological data, Solar radiation
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Faculty/Division: Centre of Excellence: Centre for Earth Resources Research & Management
Faculty of Civil Engineering & Earth Resources
Depositing User: Dr Su Kong Ngien
Date Deposited: 09 Jan 2018 07:45
Last Modified: 09 Jan 2018 07:45
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