Bayesian method for estimating Weibull parameters for wind resource assessment in a tropical region: a comparison between two-parameter and three-parameter Weibull distributions

Abstract ∘  N of the Equator to 21∘  S of the Equator. Results reveal that a three-parameter Weibull distribution with a non-zero shift parameter is a better fit for the wind data with a higher percentage of low wind speeds (0–1 m s- 1) and low skewness. However, wind data with a smaller percentage of low wind speeds and high skewness showed better results with a two-parameter distribution that is a special case of the three-parameter Weibull distribution with a zero shift parameter. The proposed distribution can be incorporated into commercial software like WAsP to improve the accuracy of wind resource assessments. The results also demonstrate that the proposed Bayesian approach and application of a three-parameter Weibull distribution are extremely useful for accurate estimation of wind power density.

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch

References and Relationships

• Bibliographic citation: Bayesian method for estimating Weibull parameters for wind resource assessment in a tropical region: a comparison between two-parameter and three-parameter Weibull distributions ; volume:8 ; number:8 ; year:2023 ; pages:1277-1298 ; extent:22 ; Wind energy science ; 8, Heft 8 (2023), 1277-1298 (gesamt 22)

Classification and Topics

• Classification: Natürliche Ressourcen, Energie und Umwelt

Contributors, Places and Time

• Creator: Khan, Mohammad Golam Mostafa ; Ahmed, Mohammed Rafiuddin

Further information

• DOI: 10.5194/wes-8-1277-2023
• URN: urn:nbn:de:101:1-2023082404315120260964
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 14.08.2025, 10:45 AM CEST