Results 1 to 10 of about 7,305,262 (169)
Bayesian method for estimating Weibull parameters for wind resource assessment in a tropical region: a comparison between two-parameter and three-parameter Weibull distributions [PDF]
Wind Energy Science, 2023 The two-parameter Weibull distribution has garnered much attention in the assessment of wind energy potential. The estimation of the shape and scale parameters of the distribution has brought forth a successful tool for the wind energy industry. However,
M. G. M. Khan, M. R. Ahmed
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Open Engineering, 2021 This study aimed to compare the graphical method (GM) and standard deviation method (SDM), based on analyses and efficient Weibull parameters by estimating future wind energy potential in the coastline region of Dar es Salaam, Tanzania.
Michael Enock +2 more
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Effects of Cracking Test Conditions on Estimation Uncertainty for Weibull Parameters Considering Time-Dependent Censoring Interval. [PDF]
Materials (Basel), 2016 It is extremely difficult to predict the initiation time of cracking due to a large time spread in most cracking experiments. Thus, probabilistic models, such as the Weibull distribution, are usually employed to model the initiation time of cracking ...
Park JP, Park C, Cho J, Bahn CB.
europepmc +2 more sources
Journal of Advanced Ceramics, 2017 Accurate estimation of Weibull parameters is an important issue for the characterization of the strength variability of brittle ceramics with Weibull statistics.
Bin Deng, Danyu Jiang
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Weibull parameters evaluation by different methods for windmills farms
Energy Reports, 2020 Electrical power generated from the wind’s motion is one of the most common clean and renewable energy produced. The wind turbines used to convert wind mechanical power to electricity have to be placed at a site presenting favorable conditions. This work
Auday H. Shaban +2 more
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Proceedings of the International Conference on Applied Innovations in IT, 2021 Estimation of the residual service life of operating fiber-optic cables is an urgent t ask. Usually this problem is solved based on the use of the Markov chain model. However, due to the nonlinear dependence of the probability of rejection on the rate of
Elena Ionikova +2 more
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Influence of Weibull parameters on the estimation of wind energy potential
Sustainable Energy Research, 2023 Wind potential estimation is generally evaluated using two-parameter ( k, c ) Weibull distribution. Root Mean Square Error (RMSE), Coefficient of Determination (R^2) and Relative Error (RE) are computed in order to comparatively analyse fourteen methods ...
Abdoul Aziz +5 more
semanticscholar +1 more source
Techno-Economic Analysis and Planning for the Development of Large Scale Offshore Wind Farm in India
International Journal of Renewable Energy Development, 2021 Despite India's great potential for offshore wind energy development, no offshore wind farm exists in the country. This study aims to plan a large scale offshore wind farm in the south coastal region of India.
Mohammad Mushir Riaz, Badrul Hasan Khan
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Estimation of Weibull parameters for wind energy analysis across the UK
Journal of Renewable and Sustainable Energy, 2021 Harvesting wind energy resources is a major part of the UK strategy to diversify the power supply portfolio and mitigate environmental degradation. Based on wind speed data for the period 1981–2018, collected at 38 surface observation stations, this ...
Z. Shu, M. Jesson
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Wind, 2022 Statistical distribution approaches have been developed to describe wind data due to the intermittent and unpredictable nature of wind speed. The Weibull distribution with two parameters is thought to be the most accurate distribution for modeling wind ...
A. A. Abou El‐Ela +3 more
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