Modeling a multi-modal distribution of wind direction data in Kudat, Malaysia

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Wind direction is the direction from which the wind is blowing. It is expressed in terms of degrees measured clockwise from geographical direction. The knowledge of the wind direction can be used to obtain information about the wind energy potential, dispersion of particulate matter in the air, the effects of engineering structures on the building, maritime study, and etc. This study provides a suitable model for the wind direction that indicates multi-modal distributional properties. A case study involves with a data from Kudat, Malaysia has been analysed. The statistical models known as a Finite Mixture of von Mises Fisher (mvMF) and Circular Distribution based on Nonnegative Trigonometric Sums (NNTS) has been fitted to the data. Then, the suitability of mvMF and NNTS models were judged based on a graphical representation and goodness-of-fit statistics. The results found that the mvMF model with H ≥ 4 components is sufficient to provide a best model.

Original languageEnglish
Pages (from-to)195-212
Number of pages18
JournalPakistan Journal of Statistics and Operation Research
Volume11
Issue number2
Publication statusPublished - 2015

Fingerprint

Malaysia
Trigonometric Sums
Modeling
Non-negative
Particulate Matter
Clockwise
Blow molding
Wind Energy
Finite Mixture
Wind power
Graphical Representation
Goodness of fit
Model
Statistical Model
Statistics
Sufficient
Engineering
Air

Keywords

  • Circular statistics
  • Dominant direction
  • Environmental statistics
  • Multimodal distribution
  • Wind direction modelling

ASJC Scopus subject areas

  • Management Science and Operations Research
  • Statistics, Probability and Uncertainty
  • Modelling and Simulation
  • Statistics and Probability

Cite this

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title = "Modeling a multi-modal distribution of wind direction data in Kudat, Malaysia",
abstract = "Wind direction is the direction from which the wind is blowing. It is expressed in terms of degrees measured clockwise from geographical direction. The knowledge of the wind direction can be used to obtain information about the wind energy potential, dispersion of particulate matter in the air, the effects of engineering structures on the building, maritime study, and etc. This study provides a suitable model for the wind direction that indicates multi-modal distributional properties. A case study involves with a data from Kudat, Malaysia has been analysed. The statistical models known as a Finite Mixture of von Mises Fisher (mvMF) and Circular Distribution based on Nonnegative Trigonometric Sums (NNTS) has been fitted to the data. Then, the suitability of mvMF and NNTS models were judged based on a graphical representation and goodness-of-fit statistics. The results found that the mvMF model with H ≥ 4 components is sufficient to provide a best model.",
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AB - Wind direction is the direction from which the wind is blowing. It is expressed in terms of degrees measured clockwise from geographical direction. The knowledge of the wind direction can be used to obtain information about the wind energy potential, dispersion of particulate matter in the air, the effects of engineering structures on the building, maritime study, and etc. This study provides a suitable model for the wind direction that indicates multi-modal distributional properties. A case study involves with a data from Kudat, Malaysia has been analysed. The statistical models known as a Finite Mixture of von Mises Fisher (mvMF) and Circular Distribution based on Nonnegative Trigonometric Sums (NNTS) has been fitted to the data. Then, the suitability of mvMF and NNTS models were judged based on a graphical representation and goodness-of-fit statistics. The results found that the mvMF model with H ≥ 4 components is sufficient to provide a best model.

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