Evaluation of weibull parameter estimators for wind speed of Jumla, Nepal

Authors

  • Ayush Parajuli Kyoto University, Kyoto, Japan

DOI:

https://doi.org/10.3126/joeis.v1i1.36812

Keywords:

Least square error method, method of moments, power density method, weibull distribution

Abstract

Weibull Probability Distribution Function (PDF) is widely used across world for estimation of wind power. Weibull function is a two parameter probability distribution function. The methods employed for the evaluation of these two parameters are critical for the efficient use of Weibull PDF. In the present study, three different Weibull PDF parameter estimators have been evaluated. For this purpose, the daily averaged wind speed data of Jumla Station, Nepal for period of 10 year (2004 – 2014: 2012 excluded) is studied. The parameter estimator evaluated in this study are Method of Moments (MoM), Least Square Error Method (LSEM) and Power Density Method (PDM). It has been found that Method of Moments (MoM) is the best estimator for evaluating Weibull Parameters.

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Author Biography

Ayush Parajuli, Kyoto University, Kyoto, Japan

Department of Mechanical Engineering and Science

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Published

2021-05-01

How to Cite

Parajuli, A. (2021). Evaluation of weibull parameter estimators for wind speed of Jumla, Nepal. Journal of Engineering Issues and Solutions, 1(1), 1–7. https://doi.org/10.3126/joeis.v1i1.36812

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Section

Research Articles