A Finite Mixture Von Mises Distribution for Wind Direction Analysis in Kuala Terengganu, Malaysia

  • Authors

    • Nortazi Sanusi
    • Azami Zaharim
    • Sohif Mat
    • Kamaruzzaman Sopian
    https://doi.org/10.14419/ijet.v7i3.17.21898

    Received date: November 27, 2018

    Accepted date: November 27, 2018

    Published date: April 27, 2026

  • Abstract

    The complexity of its circular nature of data has limited research on wind direction compared to the linear form of wind speed. Nevertheless, the important role of wind direction is undisputable. This study is purposely to distinguish the best fit probability distribution for Kuala Terengganu’s wind direction data. Then, this probability distribution can be used in determining the best direction that able to capture the highest wind speed in that area. The numerical and graphical presentation of the wind direction will be discussed throughout this paper. Next, the coefficient determination, R2 is examined to ensure the appropriateness of this probability distribution. Finally, the analysis reveals that the wind direction data of Kuala Terengganu fits best with the four number of components (H=4) mixture model of von Mises.

  • References

    1. S. K. Najid, A. Zaharim, A. M. Razali, M. S. Zainol, K. Ibrahim, and K. Sopian, “Analyzing the East Coast Malaysia Wind Speed Data,” International Journal of Energy and Environment (3), 53-60 (2009).
    2. A. Zaharim, S. K. Najid, A. Mahir, and K. Sopian, “The Suitability Of Statistical Distribution In Fitting Wind Speed Data,” WSEAS Transaction on Mathematics (7), 718–727 (2008).
    3. A. Zaharim, S. K. Najid, A. M. Razali, and K. Sopian, “Analyzing Malaysian Wind Speed Data Using Statistical Distribution,” IASME/WSEAS International Conference on Energy & Environ-ment (EE’09), 363–370 (2009).
    4. M. R. . Siti, M. Norizah, and M. Syafrudin, “The Evaluation of Wind Energy Potential in Peninsular Malaysia,” Journal of Envi-ronmental Chemical Engineering (2), 284–291 (2011).
    5. [5] N. Rosly, Y. Ohya, and T. Uchida, “Micro Siting and Wind Energy Potential in Mersing, Malaysia Using RIAM-Compact,” The Asian Conference on Sustainability, Energy and the Environment Official Conference Proceeding, (2012).
    6. M. Irwanto, N. Gomesh, M. R. Mamat, and Y. M. Yusoff, “As-sessment of wind power generation potential in Perlis, Malaysia,” Renewable & Sustainable Energy Reviews (38), 296–308 (2014).
    7. K. Sopian, “The wind energy potential of Malaysia,” Renewable Energy (6), 4–6 (1995).
    8. M. R. Islam, R. Saidur, and N. a. Rahim, “Assessment of wind en-ergy potentiality at Kudat and Labuan, Malaysia using Weibull dis-tribution function,” Energy (36)., 985–992 (2011).
    9. K. M. Nor, M. Shaaban, and H. Abdul Rahman, “Feasibility as-sessment of wind energy resources in Malaysia based on NWP models,” Renewable Energy (62), 147–154 (2014).
    10. N. Sanusi, A. Zaharim, and S. Mat, “Wind energy potential: a case study of Mersing, Malaysia,” Journal of Engineering and Applied Sciences (11), 7712–7716 ( 2016).
    11. K. H. Yong, M. Z. Ibrahim, M. Ismail, A. Albani, and A. M. Muza-thik, “Wind Mapping in Malaysia Using Inverse Distance Weighted Method,” UMT International Annual Symposium (UMTAS 2011), 60–67 (2011).
    12. N. Masseran, A. M. Razali, K. Ibrahim, W. A. N. Zawiah, and W. A. N. Zin, “On spatial analysis of wind energy potential in Malay-sia,” WSEAS Transactions on Mathematics (11), 467–477 ( 2012).
    13. S. R. Jammalamadaka and A. SenGupta, "Topics in Circular Statis-tics. Singapore," World Scientific Publishing Co.Pte.Ltd, (2001).
    14. N. A. B. Kamisan, A. G. Hussin, and Y. Z. Zubairi, “Finding the best circular distribution for southwesterly monsoon wind direction in Malaysia,” Sains Malaysiana (39), 387–393 (2010).
    15. N. A. B. Kamisan, A. G. Hussin, Y. Z. Zubairi, and S. F. Hassan, “Distribution of wind direction recorded at maximum wind speed : A case study of Malaysian wind data for,” International Journal of Physical Sciences (6), 1840–1850 ( 2011).
    16. N. Masseran, A. M. Razali, K. Ibrahim, and M. T. Latif, “Fitting a mixture of von Mises distributions in order to model data on wind direction in Peninsular Malaysia,” Energy Conversion and Manage-ment (72), 94–102 (2013).

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  • How to Cite

    Sanusi, N., Zaharim, A., Mat, S., & Sopian, K. (2026). A Finite Mixture Von Mises Distribution for Wind Direction Analysis in Kuala Terengganu, Malaysia. International Journal of Engineering and Technology, 7(3.17), 191-194. https://doi.org/10.14419/ijet.v7i3.17.21898