Modelling Wind Speed Data in Langkawi Island with Functional Relationship

IF 0.7 4区综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES

Sains Malaysiana Pub Date : 2023-08-31 DOI:10.17576/jsm-2023-5208-18

Nur Ain Al-Hameefatul Jamaliyatul, Basri Badyalina, Nurkhairany Amyra Mokhtar, Adzhar Rambli, Yong Zulina Zubairi, Adilah Abdul Ghapor

引用次数: 0

Abstract

Wind speed influenced weather predictions, aerospace operations, and maritime operations, construction projects. This research aims to examine the relationship between Pulau Langkawi wind speed data during the southwest monsoons in 2019 and 2020. To model wind speed data that follows a normal distribution. An error-in-variables model (EIVM) is utilised, which is a linear functional relationship model (LFRM). The QQ-plots will be utilised to investigate the adequacy of the model’s fit. The maximum likelihood estimation (MLE) approach is employed to estimate the parameters of the model, while the covariance is calculated using the Fisher Information matrix. As a result, it is found that the estimated values demonstrate consistency and reduced dispersion. Thus, the findings could lead to a better knowledge of wind energy prediction.

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用函数关系模拟兰卡威岛风速资料

风速影响天气预报、航空航天作业、海上作业、建筑工程。本研究旨在研究2019年和2020年西南季风期间兰卡威岛风速数据之间的关系。对符合正态分布的风速数据进行建模。采用误差变量模型(EIVM)，即线性函数关系模型(LFRM)。qq图将用于调查模型拟合的充分性。采用极大似然估计(MLE)方法估计模型参数，利用Fisher信息矩阵计算协方差。结果发现，估计值具有一致性和减小的离散性。因此，这些发现可能会让我们更好地了解风能预测。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Sains Malaysiana MULTIDISCIPLINARY SCIENCES-

CiteScore

1.60

自引率

12.50%

发文量

196

审稿时长

3-6 weeks

期刊介绍： Sains Malaysiana is a refereed journal committed to the advancement of scholarly knowledge and research findings of the several branches of science and technology. It contains articles on Earth Sciences, Health Sciences, Life Sciences, Mathematical Sciences and Physical Sciences. The journal publishes articles, reviews, and research notes whose content and approach are of interest to a wide range of scholars. Sains Malaysiana is published by the UKM Press an its autonomous Editorial Board are drawn from the Faculty of Science and Technology, Universiti Kebangsaan Malaysia. In addition, distinguished scholars from local and foreign universities are appointed to serve as advisory board members and referees.