A theoretical analysis on parameter estimation for the weibull wind speed distribution

Author

Tuzuner, Akiner ; Yu, Zuwei

Author_Institution

Energy Center, Purdue Univ., West Lafayette, IN

fYear

2008

fDate

20-24 July 2008

Firstpage

1

Lastpage

6

Abstract

The Weibull distribution has been found to be a suitable fit for the empirical distribution of the wind speed measurement samples. We discuss the application of the Maximum Likelihood Estimation (MLE) method and the Method of Moments (MOM) for fitting the 2-parameter Weibull distribution to wind speed measurements. We also prove that both the MLE and MOM yields unique parameter estimates.

Keywords

Weibull distribution; maximum likelihood estimation; method of moments; parameter estimation; velocity measurement; wind power; Weibull distribution; Weibull wind speed distribution; empirical distribution; maximum likelihood estimationmethod; method of moments; parameter estimation; wind speed measurement samples; Maximum likelihood estimation; Message-oriented middleware; Moment methods; Parameter estimation; Power system modeling; Velocity measurement; Weibull distribution; Wind energy; Wind energy generation; Wind speed; Maximum Likelihood Estimation; Method of Moments; Weibull; Wind Speed;

fLanguage

English

Publisher

ieee

Conference_Titel

Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE

Conference_Location

Pittsburgh, PA

ISSN

1932-5517

Print_ISBN

978-1-4244-1905-0

Electronic_ISBN

1932-5517

Type

conf

DOI

10.1109/PES.2008.4596167

Filename

4596167