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High-accuracy prediction of international raw material trade flows using temporal fusion transformer

author
Arrar, Djihad
Ounoughi, Chahinez
Kamel, Nadjet
Kalvet, Tarmo
Tiits, Marek
Ben Yahia, Sadok
statement of authorship
Djihad Arrar, Chahinez Ounoughi, Nadjet Kamel, Tarmo Kalvet, Marek Tiits, Sadok Ben Yahia
source
International Journal of Data Science and Analytics
publisher
Springer
year of publication
2025
pages
art. 100288
url
https://doi.org/10.1007/s41060-025-00781-4
https://link.springer.com/article/10.1007/s41060-025-00781-4
subject term
kahepoolne kaubandus
rahvusvaheline kaubandus
toorained
aegridade analüüs
prognostika
keyword
bilateral trade
international trade
raw materials
temporal fusion transformer (TFT)
time series analysis
UN Comtrade
ISSN
2364-415X
notes
Bibliogr.: 58 ref
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
scopus
TalTech department
Department of Business Administration
language
English
Arrar, D., Ounoughi, C., Kamel, N., Kalvet, T., Tiits, M., Ben Yahia, S. High-accuracy prediction of international raw material trade flows using temporal fusion transformer // International Journal of Data Science and Analytics (2025), art. 100288. https://doi.org/10.1007/s41060-025-00781-4 https://link.springer.com/article/10.1007/s41060-025-00781-4