MATEC Web Conf.
Volume 225, 2018UTP-UMP-VIT Symposium on Energy Systems 2018 (SES 2018)
|Number of page(s)||6|
|Section||Renewable and Non-renewable Energy Resources and Power Generation|
|Published online||05 November 2018|
Wind Velocity Data Interpolation Using Rational Cubic Spline
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.
2 Department of Mathematics and Statistics, King Faisal University, Saudi Arabia.
* Corresponding author: email@example.com
Wind velocity data is always having positive value and the minimum value approximately close to zero. The standard cubic spline interpolation (not-a-knot and natural) as well as cubic Hermite polynomial may be produces interpolating curve with negative values on some subintervals. To cater this problem, a new rational cubic spline with three parameters is constructed. This rational spline will be used to preserve the positivity of the wind velocity data. Numerical results shows that the proposed scheme work very well and give visually pleasing interpolating curve on the given domain.
© The Authors, published by EDP Sciences, 2018
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