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Application of Neural Kriging in Wind Mapping Malaysia
Intan Najehah Bt Mohd Zolkefli
Supervisor: Assoc. Prof. Ts. Dr. Mohd Zamri Ibrahim
Bachelor of Technology (Environment)
School of Ocean Engineering
Universiti Malaysia Terengganu
Before the exploitation of the wind energy it must be estimated and identified the
potential area of wind energy by mapping. However, this is very difficult task because
its potency depends on accuracy of the spatial interpolation used to define the spatial
variability. In this study Neural Kriging (NK) application has been applied in Malaysia.
NK was the combination of two different techniques which were Neural Networks (NN)
used Multi-layer perceptron (MLP) and kriging interpolator used Ordinary kriging. The
mean wind speed for 37 stations is the main input use in both techniques, first to
compute the most of the wind spatial trends and others input (altitude, longitude)
were also used and organized into a geographic information system(GIS) .Then both
were combined to perform NK application and illustrate the trend maps. The results
showed the combination gives better spatial estimation for the nonlinear data to obtain
a map of estimated wind energy.
33 | U M T U N D E R G R A D U A T E R E S E A R C H D A Y 2019