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A study on data accuracy by comparing between the Weibull and Rayleigh distribution function to forecast the wind energy potential for several locations of Bangladesh

机译:通过比较Weibull和Rayleigh分布函数预测孟加拉国多个地区的风能潜力来进行数据准确性研究

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This paper focuses the behaviour of wind speed pattern in some selected locations of Bangladesh in order to forecast the wind energy potential of Bangladesh. In our study, the wind speed data for Cox's Bazar, Kuakata, Swandip, Hatiya and Sydpur between 2004 and 2007 have collected from several organizations i.e. Bangladesh Meteorological Department (BMD), Local Government Engineering Development (LGED) and Infrastructure Development Company Ltd (IDCOL) and processed on daily, monthly and hourly basis. The data have been examined by Weibull distribution function using Weibull Graphical method in order to find the shape parameter (k) and scale parameter (c) and thus compared between the Weibull and Rayleigh distribution functions to deduce the wind availability of the selected locations. Moreover, statistically Correlation Coefficient (R2), Root Mean Square Error (RMSE), and Coefficient of Efficiency (COE) methods have also employed based on the data in order to evaluate the performance of the Weibull probability density function.
机译:本文重点研究了孟加拉国某些选定地区的风速模式行为,以预测孟加拉国的风能潜力。在我们的研究中,Cox's Bazar,Kuakata,Swandip,Hatiya和Sydpur在2004年至2007年之间的风速数据来自孟加拉国气象局(BMD),地方政府工程发展局(LGED)和基础设施发展有限公司(IDCOL)等多个组织。 ),并每天,每月和每小时进行处理。数据已通过Weibull分布函数使用Weibull图形方法进行了检查,以便找到形状参数(k)和比例参数(c),从而在Weibull和Rayleigh分布函数之间进行比较以推断所选位置的风能。此外,还基于数据采用了统计相关系数(R2),均方根误差(RMSE)和效率系数(COE)方法,以评估Weibull概率密度函数的性能。

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