TY  - CONF
AV  - none
KW  - Polynomials; Wind
KW  -  Cubic-spline interpolation; Data interpolation; Negative values; Numerical results; Rational cubic spline; Rational splines; Three parameters; Wind velocities
KW  -  Interpolation
TI  - Wind Velocity Data Interpolation Using Rational Cubic Spline
ID  - scholars9755
N2  - 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. © 2018 The Authors, published by EDP Sciences.
N1  - cited By 2; Conference of 2018 UTP-UMP-VIT Symposium on Energy Systems, SES 2018 ; Conference Date: 18 September 2018 Through 19 September 2018; Conference Code:141921
SN  - 2261236X
PB  - EDP Sciences
Y1  - 2018///
VL  - 225
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85056787036&doi=10.1051%2fmatecconf%2f201822504006&partnerID=40&md5=a87d43c733adfede70d881595a79e795
A1  - Karim, S.A.B.A.
A1  - Suresh Kumar Raju, S.
ER  -