Open AccessEvaluation of weibull parameter estimators for wind speed of Jumla, Nepal
Author(s) -
Ayush Parajuli
Publication year - 2021
Publication title -
journal of engineering issues and solutions
Language(s) - English
Resource type - Journals
eISSN - 2795-1537
pISSN - 2795-1529
DOI - 10.3126/joeis.v1i1.36812
Subject(s) - weibull distribution , estimator , statistics , wind speed , probability density function , exponentiated weibull distribution , mathematics , weibull modulus , shape parameter , weibull fading , mean squared error , method of moments (probability theory) , meteorology , physics , decoding methods , rayleigh fading , fading
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.