Title: A computer package to model wind speed distribution using six different methods including maximum entropy principle

Authors: Muhammad Mustaqeem Zahid; Ahmed Ali Rajput; Shafiq Ur Rehman; Muhammad Adeel; Zaheer Uddin

Addresses: Department of Physics, University of Karachi, Karachi, Pakistan ' Department of Physics, University of Karachi, Karachi, Pakistan ' Department of Physics, University of Karachi, Karachi, Pakistan ' Department of Physics, Federal Urdu University of Art Science and Technology, Gulshan Campus, Karachi, Pakistan ' Department of Physics, University of Karachi, Karachi, Pakistan

Abstract: The Weibull probability distribution is widely used to model wind speed. In this study, a Python library package (windz) was developed to analyse wind speed data. This package includes various methods (method of the moment, empirical method, energy pattern factor method, maximum likelihood method, modified maximum likelihood method, and maximum entropy principle) to find the parameters of Weibull distribution. The package was used to model wind speed distribution for three years (2021-2023) in three cities of Pakistan: Harnai, Jacobabad and Talagang. The statistical errors goodness-of-fit test, including mean square, chi-square, and R-square errors, were used to check the fit's validity.

Keywords: Python; wind speed distribution; Weibull distribution; maximum entropy principle; method of moments; maximum likelihood method; empirical method.

DOI: 10.1504/IJEX.2024.142626

International Journal of Exergy, 2024 Vol.45 No.3/4, pp.207 - 218

Received: 19 Mar 2024
Accepted: 02 Aug 2024
Published online: 12 Nov 2024 *

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