| Summary: | 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.
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