The choice of a suitable theoretical wind speed distribution is an important prerequisite for
accurate wind energy yield estimation. In this review, 46 studies published 2010–2018 …

A review of sensitivity analysis in wind resource assessment is presented, offering
classifications by sensitivity analysis output variable (or model), method, application …

A kernel density estimation (KDE) model for the probability distribution of wind speed
(PDWS) is proposed in this paper for application to wind energy assessment (WEA) in …

Based on 12 global circulation models, the simulated changes in empirical 10 m wind speed
distributions under the representative concentration pathway RCP8. 5 were quantified. It is …

Reanalysis datasets are widely used for wind resource assessment (WRA) when measured
data is unavailable. Due to variation in wind resource, it is essential to establish the …

Accurate description of wind speed probability distribution is an essential part of wind farm
planning and dispatching. The two-parameter Weibull distribution is mostly used to fit …

To copy with global warming and increasing energy demand, wind power has been rapidly
developed around the world in recent years. It is important to analyse the characteristics of …

Integrating multiple wind farms into power systems may reduce the fluctuation in total power
output of wind farms and hence it decreases the system risk resulting from the wind speed …

In this paper, we introduce a Topp-Leone Lindley (TLL) distribution by using Topp-Leone
(TL) family. Mathematical properties of the TLL distribution are studied. Estimation of the …

Understanding and evaluating wind energy involves various steps, including the observed
temporal and directional variations in wind speed, choosing a suitable Probability Density …