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

Authors

  • Ayush Parajuli Department of Mechanical Engineering and Science, Kyoto University, Kyoto, Japan

DOI:

https://doi.org/10.3126/joeis.v2i1.49596

Keywords:

Nakagami distribution, Birnbaum-Saunders distribution, Weibull Distribution

Abstract

This study compares three probability density functions (PDFs) for understanding and estimating wind power based on wind patterns: the commonly-used Weibull distribution, the relatively-new Birnbaum-Saunders distribution, and the Nakagami distribution. The wind profile of Jumla, Nepal was analyzed using data from 2004 to 2014. The Nakagami distribution performed similarly to the Weibull distribution in terms of understanding wind patterns. However, for estimating wind power, the Nakagami distribution was found to be more effective than the Weibull distribution in most cases. The Birnbaum-Saunders distribution was found to be the least effective of the three PDFs compared.

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Published

2023-06-06

How to Cite

Parajuli, A. (2023). Evaluation of Nakagami and Birnbaum-Saunders probability distribution for wind speed and power estimation. Journal of Engineering Issues and Solutions, 2(1), 1–12. https://doi.org/10.3126/joeis.v2i1.49596

Issue

Section

Research Articles