An analysis of energy mix in peninsular Malaysia in line with the existing Malaysia’s energy policy
This paper considers dynamic changes of energy-mix available in Peninsular Malaysia with respect to the Malaysia’s energy policies and evaluates these on experimental basis. This research applied a Data Mining approach; Self Organizing Map (SOM) Algorithm for trend cluster analysis time series data....
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| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
Malaysian Technical Universities Network (MTUN)
2016
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/8533/ |
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| Summary: | This paper considers dynamic changes of energy-mix available in Peninsular Malaysia
with respect to the Malaysia’s energy policies and evaluates these on experimental basis.
This research applied a Data Mining approach; Self Organizing Map (SOM) Algorithm
for trend cluster analysis time series data. The approach can provide a number of
capabilities to uncover relationships between data attributes, uncover relationships
between observations, predict the outcome of future observations and learn how to best
react to situations through trial and error by using reinforcement learning. Based on the
experiment, the test results have shown that the application is able to accommodate large
sets of data and produced the trend lines graphs. In addition, a clearer picture of
scenarios and the latest trend of energy mix applied in Peninsular Malaysia were
successfully obtained. It is shown that Malaysian government should increase the
execution and improvement in the realization and implementation of energy policy in
Malaysia. Besides, Malaysia still has a lot of potential in order to fully utilize renewable
energy resources. |
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