Rational cubic spline interpolation for missing solar data imputation

Samsul Ariffin Abdul Karim, Mohd Tahir Ismail, Mahmod Othman, Mohd Faris Abdullah, Mohammad Khatim Hasan, Jumat Sulaiman

Research output: Contribution to journalArticle

Abstract

Missing data imputation is an important task in statistical and sciences dscipline. Solar radation 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 imtnunent. Thus, missing data imputation can be used to predict and estimate the unknownvalue of the solar radation at cemin time. This study will estimate the solar radation 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.

Original languageEnglish
Pages (from-to)2587-2592
Number of pages6
JournalJournal of Engineering and Applied Sciences
Volume13
Issue number9
DOIs
Publication statusPublished - 1 Jan 2018

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Splines
Interpolation

Keywords

  • Imputation
  • Missing data
  • Quadratic
  • Rational cubic Ball
  • Regression model
  • Solar radiation

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Rational cubic spline interpolation for missing solar data imputation. / Karim, Samsul Ariffin Abdul; Ismail, Mohd Tahir; Othman, Mahmod; Abdullah, Mohd Faris; Hasan, Mohammad Khatim; Sulaiman, Jumat.

In: Journal of Engineering and Applied Sciences, Vol. 13, No. 9, 01.01.2018, p. 2587-2592.

Research output: Contribution to journalArticle

Karim, Samsul Ariffin Abdul ; Ismail, Mohd Tahir ; Othman, Mahmod ; Abdullah, Mohd Faris ; Hasan, Mohammad Khatim ; Sulaiman, Jumat. / Rational cubic spline interpolation for missing solar data imputation. In: Journal of Engineering and Applied Sciences. 2018 ; Vol. 13, No. 9. pp. 2587-2592.
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