The statistical characteristics of wind and the selection of suitable wind turbines are
essential to effectively evaluate wind energy potential and design wind farms. Using four …

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 …

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 …

Optimal microgrid design is pivotal in planning active distribution networks (ADNs) with
intermittent renewable energy sources (RESs) and battery energy storage systems (BESSs) …

Precise information of wind speed probability distribution is truly significant for many wind
energy applications. The objective of this study is to evaluate the suitability of different …

The aim of this study is to assess the accuracy of different probability functions for modeling
wind speed distribution at four locations, distributed over Algeria, to minimize the uncertainty …

This paper presents a probabilistic optimal power flow (POPF) technique considering the
correlations of wind speeds following arbitrary probability distributions based on the point …

The aim of this study was evaluating the goodness-of-fit of 24 one-component probability
density functions and 21 mixture probability density functions to empirical wind speed …

This paper proposes a joint probability density function of air density and wind speed,
aiming to integrate the air density distribution into statistical wind resource models, thereby …

Accuracy of wind speed data has important impact on determining wind power output from a
wind turbine. There are many researches on four widely used wind speed distribution …