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DimensionsAzizan, I. and Karim, S.A.B.A. and Suresh Kumar Raju, S. (2018) Fitting Rainfall Data by Using Cubic Spline Interpolation. In: UNSPECIFIED.
Full text not available from this repository.Abstract
This study discusses the application of two cubic spline i.e. natural and not-a-knot end boundary conditions to visualize and predict the rainfall data. The interpolation and the analysis of the rainfall data will be done on a monthly basis by using the MATLAB software. The rainfall data is obtained from Malaysia Meteorology Department for Ipoh and Petaling Jaya in year 2014 and 2015. The interpolating curves are then being compared and if there is any negative value on the interpolating curve on some sub-interval, that part will be replaced by using the Piecewise Cubic Hermite Interpolating Polynomial (PCHIP). We discuss the missing data imputation by using both splines. © 2018 The Authors, published by EDP Sciences.
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Additional Information: | cited By 7; Conference of 2018 UTP-UMP-VIT Symposium on Energy Systems, SES 2018 ; Conference Date: 18 September 2018 Through 19 September 2018; Conference Code:141921 |
| Uncontrolled Keywords: | MATLAB; Polynomials; Rain, Cubic Hermite; Cubic-spline interpolation; Interpolating polynomials; Matlab- software; Missing data imputations; Negative values; Rainfall data; Sub-interval, Interpolation |
| Depositing User: | Mr Ahmad Suhairi UTP |
| Date Deposited: | 09 Nov 2023 16:36 |
| Last Modified: | 09 Nov 2023 16:36 |
| URI: | https://khub.utp.edu.my/scholars/id/eprint/9780 |
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