Hicham, B., Ikram, E.A., Abdelmajid, E.B. and Abdelmoumen, D. (2019) Wind Speed Data Analysis Using Weibull and Rayleigh Distribution Functions, Case Study: Five Cities Northern Morocco. Procedia Manufacturing, 32, 786-793.

has been cited by the following article:

• TITLE: Wind Speed and Power Density Analysis for Sustainable Energy in Batouri, East Region of Cameroon

  AUTHORS: Pierre Pokem, Elie Bertrand Kengne Signe, Jean Nganhou,   Yaouba

  KEYWORDS: Weibull Distribution, Mean Wind Speed, Statistical Tests, Wind Energy

  JOURNAL NAME: Journal of Power and Energy Engineering, Vol.11 No.6, June 29, 2023

  ABSTRACT: This paper develops the modeling of wind speed by Weibull distribution in the intention to evaluate wind energy potential and help for designing small wind energy plant in Batouri in Cameroon. The Weibull distribution model was developed using wind speed data collected from a metrological station at the small Airport of Batouri. Four numerical methods (Moment method, Graphical method, Empirical method and Energy pattern factor method) were used to estimate weibull parameters K and C. The application of these four methods is effective using a sample wind speed data set. With some statistical analysis, a comparison of the accuracy of each method is also performed. The study helps to determine that Energy pattern factor method is the most effective (K = 3.8262 and C = 2.4659).