With economic development and population growth, energy demand has shown an upward
trend. Renewable energy is inexhaustible and causes little pollution, which has broad …

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 …

Wind energy has exhibited the fastest growth of all renewable energy sources. Available
wind energy potential for use by wind turbines has been found to be highly overestimated by …

For the evaluation of wind energy potential, probability density functions (pdfs) are usually
used to describe wind speed distributions. The selection of the appropriate pdf reduces the …

Weibull distribution is widely used for modeling the wind speed data in literature. However,
in real life, the wind speed data may not always be modeled by using the Weibull …

The Weibull probability density function (PDF) has mostly been used to fit wind speed
distributions for wind energy applications. The goodness of fit of the results depends on the …

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 …

Large-scale integration of wind power generation decreases the equivalent inertia of a
power system, and thus makes frequency stability control challenging. However, given the …

The precise measurement of effective wind speed is a crucial task and has huge impact on
wind turbine output power, safety and control performance. In this study, a hybrid intelligent …

This paper proposes two general procedures to develop wind speed models based on
stochastic differential equations. Models are intended to generate wind speed trajectories …