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Cited by 39Grey System Theory ApplicationsForecasting Techniques and ApplicationsTime Series Analysis and Forecasting

Multivariable time series forecasting using model fusion

Wang, Ruijin, Pei, Xikai, Zhu, Juyi, Zhang, Zhiyang, Huang, Xin, Zhai, Jiayi, Zhang, Fengli·2022·Information Sciences
DOI 10.1016/j.ins.2021.11.025
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Crossref · 10.1016/j.ins.2021.11.025

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Authors
Wang, R., Pei, X., Zhu, J., Zhang, Z., Huang, X., Zhai, J., & Zhang, F.
Affiliations
University of Electronic Science and Technology of China (CN)
Corresponding author
Wang, Ruijin
ORCID
Venue
Information Sciences
Publisher
Elsevier BV
Published
2022-03
Volume
585
Pages
262-274
ISSN
0020-0255 (ISSN-L)
DOI
10.1016/j.ins.2021.11.025
OpenAlex
W3217045031
Cited by
39
References
0
Citations by year
2026: 5 · 2025: 6 · 2024: 10 · 2023: 13 · 2022: 5
FWCI
4.25
Type
journal article
Language
en
Open access
closed
Licence
Locations
Information Sciences (publishedVersion)
Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Grey System Theory Applications
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Forecasting Techniques and Applications
  • Physical Sciences › Computer Science › Signal Processing › Time Series Analysis and Forecasting
Keywords
model fusion, artificial fish swarm algorithm, parameter optimization, data decomposition, weighted sums, forecast accuracy

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