Wind energy harnessing on tall buildings in urban environments is a rapidly develo**
renewable energy technology. It is influenced by the terrain type, local wind characteristics …

Cutting down the reliance on fossil fuels and utilization of wind energy as green energy
source requires detailed resource exploration using some probability distribution. In contrast …

This study introduces a new estimation approach that could be used in calculating the
Weibull parameters for the estimation of wind power. This new approach, called the method …

Wind energy is considered one of the most important alternative energy sources for
generating electricity. But the stochastic nature of wind, leads to use the distribution function …

Wind speed modeling is essential for predicting wind energy potential and properly utilizing
wind power. The efficiency of the chosen probability distribution function (PDF) to describe …

Ten years daily mean wind speed data from thirteen cities in Central and Southern Nigeria
were analyzed using six different methods (graphical, empirical methods of Justus and …

This study aims to compare thirteen computational methods with the goal of pointing out the
more relevant method for the determination of Weibull parameters using forty-year daily …

Abstract Wind Power Density (WPD) is a crucial parameter that can be used in assessing the
potential of a given site for energy development and determining the suitability of wind …

The characterization of wind speed distribution and the optimal assessment of wind energy
potential are critical factors in selecting a suitable site for wind power plants (WPP). The …

Cameroon, a country of the Sub-Saharan Africa, faces a challenging problem of access to
electricity. Its overall electricity production in 2012 was 305 kWh per inhabitant for gross …