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Journal ArticleDOI

Modern estimation of the parameters of the Weibull wind speed distribution for wind energy analysis

TLDR
In this article, three methods for calculating the parameters of the Weibull wind speed distribution for wind energy analysis are presented: the maximum likelihood method, the proposed modified maximum likelihood (MML) method, and the commonly used graphical method.
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This article is published in Journal of Wind Engineering and Industrial Aerodynamics.The article was published on 2000-03-01. It has received 864 citations till now. The article focuses on the topics: Wind speed & Wind power.

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Citations
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Journal ArticleDOI

An Economic Dispatch Model Incorporating Wind Power

TL;DR: A model to include wind energy conversion system (WECS) generators in the ED problem is developed, and in addition to the classic economic dispatch factors, factors to account for both overestimation and underestimation of available wind power are included.
Journal ArticleDOI

A review of wind speed probability distributions used in wind energy analysis: Case studies in the Canary Islands

TL;DR: In this paper, a review of the use of the probability density function (PDF) of wind speed is carried out for a wide collection of models, and the methods that have been used to estimate the parameters on which these models depend are reviewed and the degree of complexity of the estimation is analyzed in function of the model selected.

A review of wind speed probability distributions used in wind energy analysis: case studies in the canary islands: case studies in the canary islands

J A Carta, +1 more
TL;DR: In this paper, a review of the use of the probability density function (PDF) of wind speed is carried out for a wide collection of models, and the methods that have been used to estimate the parameters on which these models depend are reviewed and the degree of complexity of the estimation is analyzed in function of the model selected.
Journal ArticleDOI

A statistical analysis of wind power density based on the Weibull and Rayleigh models at the southern region of Turkey

TL;DR: In this article, the wind energy potential of the region is statistically analyzed based on 1-year measured hourly time-series wind speed data and distributional parameters are identified, and two probability density functions are fitted to the measured probability distributions on a monthly basis.
Journal ArticleDOI

A new method to estimate Weibull parameters for wind energy applications

TL;DR: In this paper, a new method is developed to estimate Weibull distribution parameters for wind energy applications, which is called power density (PD) method and it has simple formulation, it does not require binning and solving linear least square problem or iterative procedure.
References
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Journal ArticleDOI

Nationwide assessment of potential output from wind-powered generators

TL;DR: In this article, the actual expected power for a wind-powered generator from a given observed speed distribution is described and applied to estimate the potential output for different locations in the continental U.S.
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