eprintid: 9755
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/97/55
datestamp: 2023-11-09 16:36:24
lastmod: 2023-11-09 16:36:24
status_changed: 2023-11-09 16:29:45
type: conference_item
metadata_visibility: show
creators_name: Karim, S.A.B.A.
creators_name: Suresh Kumar Raju, S.
title: Wind Velocity Data Interpolation Using Rational Cubic Spline
ispublished: pub
keywords: Polynomials; Wind, Cubic-spline interpolation; Data interpolation; Negative values; Numerical results; Rational cubic spline; Rational splines; Three parameters; Wind velocities, Interpolation
note: 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
abstract: 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.
date: 2018
publisher: EDP Sciences
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85056787036&doi=10.1051%2fmatecconf%2f201822504006&partnerID=40&md5=a87d43c733adfede70d881595a79e795
id_number: 10.1051/matecconf/201822504006
full_text_status: none
publication: MATEC Web of Conferences
volume: 225
refereed: TRUE
issn: 2261236X
citation:   Karim, S.A.B.A. and Suresh Kumar Raju, S.  (2018) Wind Velocity Data Interpolation Using Rational Cubic Spline.  In: UNSPECIFIED.