THERMAL SCIENCE

International Scientific Journal

Ling-Xia Qiao

,

Yin Zhang

,

Wan-Ying Ma

,

Xiao-Hua Yang

,

Jian-Qiang Li

ANALYSIS MODEL FOR FORECASTING EXTREME TEMPERATURE USING REFINED RANK SET PAIR

ABSTRACT
In order to improve the precision of forecasting extreme temperature time series, a refined rank set pair analysis model with a refined rank transformation function is proposed to improve precision of its prediction. The measured values of the annual highest temperature of two China’s cities, Taiyuan and Shijiazhuang, in July are taken to examine the performance of a refined rank set pair model.
KEYWORDS
extreme temperature, prediction, time series, refined rank set pair analysis model, robust analysis, error analysis
PAPER SUBMITTED: 2013-01-01
PAPER REVISED: 2013-04-27
PAPER ACCEPTED: 2013-04-30
PUBLISHED ONLINE: 2013-12-28
DOI REFERENCE: https://doi.org/10.2298/TSCI1305369Q
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2013, VOLUME 17, ISSUE Issue 5, PAGES [1369 - 1374]
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Analysis model for forecasting extreme temperature using refined rank set pair

© 2024 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence