Hybrid approach Wavelet seasonal autoregressive integrated moving averagemodel (WSARIMA) for modeling time series
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F21%3APU140167" target="_blank" >RIV/00216305:26510/21:PU140167 - isvavai.cz</a>
Result on the web
<a href="https://aip.scitation.org/doi/pdf/10.1063/5.0041734" target="_blank" >https://aip.scitation.org/doi/pdf/10.1063/5.0041734</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1063/5.0041734" target="_blank" >10.1063/5.0041734</a>
Alternative languages
Result language
angličtina
Original language name
Hybrid approach Wavelet seasonal autoregressive integrated moving averagemodel (WSARIMA) for modeling time series
Original language description
Many prognosis studies have been conducted for a long time. There are many established and widely accepted prediction methods, such as linear extrapolation and SARIMA. However, their performance is far from perfect, especially when the time series is highly volatile. In this paper, we propose a hybrid prediction scheme that combines the classical SARIMA method and the wavelet transform (WT). Wavelet transform (WT) has emerged as an effective tool in decomposing time series into different components, which allows for improved prediction accuracy. However, this issue has so far been insufficiently tested and tried to predict different time series. Our goal is therefore to integrate modeling approaches as a decision support tool. The results of an empirical study show that this method can achieve high accuracy in prediction. Based on the results of the created model, it can be stated that the hybrid WSARIMA model overperformed the SARIMA model.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
AIP Conference Proceedings
ISBN
978-0-7354-4077-7
ISSN
—
e-ISSN
—
Number of pages
10
Pages from-to
„090001-1“-„090001-10“
Publisher name
AIP Publishing
Place of publication
neuveden
Event location
Sofia
Event date
Jun 7, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000664205600026