Journal of Engineering and Applied Sciences

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Rational Cubic Spline Interpolation for Missing Solar Data Imputation

Samsul Ariffin Abdul Karim, Mohd Tahir Ismail, Mahmod Othman, Mohd Faris Abdullah, Mohammad Khatim Hasan and Jumat Sulaiman
Page: 2587-2592 | Received 21 Sep 2022, Published online: 21 Sep 2022

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Abstract

Missing data imputation is an important task in statistical and sciences discipline. Solar radiation data obtained from the solar tracker does not complete and some data are missing due to human error in handling the instrument or the failure of the instrument. Thus, missing data imputation can be used to predict and estimate the unknown value of the solar radiation at certain time. This study will estimate the solar radiation by using rational cubic Ball spline function with three parameters. The interpolating rational Ball spline is able to give good result based on quadratic regression model.

How to cite this article:

Samsul Ariffin Abdul Karim, Mohd Tahir Ismail, Mahmod Othman, Mohd Faris Abdullah, Mohammad Khatim Hasan and Jumat Sulaiman. Rational Cubic Spline Interpolation for Missing Solar Data Imputation.
DOI: https://doi.org/10.36478/jeasci.2018.2587.2592
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2018.2587.2592