MATEC Web Conf.
Volume 225, 2018UTP-UMP-VIT Symposium on Energy Systems 2018 (SES 2018)
|Number of page(s)||9|
|Section||Energy generation efficiency|
|Published online||05 November 2018|
Fitting Rainfall Data by Using Cubic Spline Interpolation
Department Electrical and Electronic Engineering, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, 32610 Seri Iskandar, Perak Darul Ridzuan, Malaysia.
2 Fundamental and Applied Sciences Department and Centre for Smart Grid Energy Research (CSMER), Institute of Autonomous System, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, 32610 Seri Iskandar, Perak DR, Malaysia.
3 Department of Mathematics and Statistics, King Faisal University, Saudi Arabia.
* Corresponding author: firstname.lastname@example.org
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.
© The Authors, published by EDP Sciences, 2018
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