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

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.

Evaluation of Nakagami and Birnbaum-Saunders probability distribution for wind speed and power estimation

“…There is a lack of detailed research on the suitability of PDFs for windy areas in Nepal. The author previously studied the applicability of the Weibull function in the Himalayan region (Parajuli, 2016(Parajuli, , 2021. Recent studies have also examined the use of the two-parameter Weibull distribution and its parameter estimators in terrains of Nepal (Dhakal et al, 2020;Pandeya et al 2022).…”