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Predictive performances of machine learning– and deep learning–based univariate and multivariate reservoir inflow predictions in the Chao Phraya River Basin

Crossref DOI link: https://doi.org/10.1007/s40808-026-02795-8

Published Online: 2026-05-04

Published Print: 2026-06

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Rittima, Areeya

Kraisangka, Jidapa

Dornpunya, Pheeranat

Sawangphol, Wudhichart

Phankamolsil, Yutthana

Tabucanon, Allan Sriratana

Talaluxmana, Yutthana

Vudhivanich, Varawoot
Funding

Funding for this research was provided by:

Mahidol University
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Text and Data Mining valid from 2026-05-04

Version of Record valid from 2026-05-04
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Article History

Received: 12 July 2025

Accepted: 3 April 2026

First Online: 4 May 2026

Declarations

:

: The authors have no financial or non–financial interests to disclose.

: The authors declare that they are aware and consent their participation in this paper.

: The authors declare that they consent the publication of this paper.

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