Abstract The increased integration of wind power into electric power systems presents new challenges for effective planning and operation of these systems. The Weibull distribution is a widely used distribution, especially for modelling the random variable of wind speed. In this respect, the authors present a comparative analysis of a number of methods used for estimating Weibull parameters. Results for a real-world database are presented in a case study format. The techniques require historical wind speed data, collected over a particular time interval, to establish the parameters of wind speed distribution for a specific location, namely Cape Town, South Africa
The wind energy potential at Ikeja (Lat. 6.35 N; Long. 3.20 E), Nigeria was statistically analyzed u...
In this study, statistical analysis method has been used to assess the wind energy potential in Bahi...
Wind speeds recorded at regular intervals of time for a particular wind site correspond to intermitt...
The worldwide utilisation of renewable energy in electric power systems is growing rapidly due to co...
This paper analyses wind speed characteristics and wind power potential of Port Elizabeth using stat...
This paper analyses wind speed characteristics and wind power potential of Port Elizabeth using stat...
The two-parameter Weibull probability distribution function is versatile for modelling wind speed fr...
Both the planning and operating of a wind farm demand an appropriate wind speed model of its locatio...
Both the planning and operating of a wind farm demand an appropriate wind speed model of its locatio...
The two-parameter Weibull probability distribution function is versatile for modelling wind speed fr...
<p>The modeling of the wind speed distribution is of great importance for the assessment of wind ene...
The probabilistic approach has an important place in the wind energy research field as it provides c...
The modeling of the wind speed distribution is of great importance for the assessment of wind energy...
International audienceWind energy assessment plays a critical role in the exploitation of wind turbi...
The wind energy potential at Ikeja (Lat. 6.35 N; Long. 3.20 E), Nigeria was statistically analyzed u...
The wind energy potential at Ikeja (Lat. 6.35 N; Long. 3.20 E), Nigeria was statistically analyzed u...
In this study, statistical analysis method has been used to assess the wind energy potential in Bahi...
Wind speeds recorded at regular intervals of time for a particular wind site correspond to intermitt...
The worldwide utilisation of renewable energy in electric power systems is growing rapidly due to co...
This paper analyses wind speed characteristics and wind power potential of Port Elizabeth using stat...
This paper analyses wind speed characteristics and wind power potential of Port Elizabeth using stat...
The two-parameter Weibull probability distribution function is versatile for modelling wind speed fr...
Both the planning and operating of a wind farm demand an appropriate wind speed model of its locatio...
Both the planning and operating of a wind farm demand an appropriate wind speed model of its locatio...
The two-parameter Weibull probability distribution function is versatile for modelling wind speed fr...
<p>The modeling of the wind speed distribution is of great importance for the assessment of wind ene...
The probabilistic approach has an important place in the wind energy research field as it provides c...
The modeling of the wind speed distribution is of great importance for the assessment of wind energy...
International audienceWind energy assessment plays a critical role in the exploitation of wind turbi...
The wind energy potential at Ikeja (Lat. 6.35 N; Long. 3.20 E), Nigeria was statistically analyzed u...
The wind energy potential at Ikeja (Lat. 6.35 N; Long. 3.20 E), Nigeria was statistically analyzed u...
In this study, statistical analysis method has been used to assess the wind energy potential in Bahi...
Wind speeds recorded at regular intervals of time for a particular wind site correspond to intermitt...