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Development of a machine-learning-based performance prediction model for indirect regenerative evaporative cooling applications supported by experimental and numerical techniques

Crossref DOI link: https://doi.org/10.1007/s10973-025-14117-8

Published Online: 2025-03-13

Published Print: 2025-04

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

Authors

Çolak, Andaç Batur https://orcid.org/0000-0001-9297-8134
Inanli, Mert

Aydin, Devrim

Rezaei, Marzieh

Calisir, Tamer

Dalkilic, Ahmet Selim

Baskaya, Senol
Funding

Funding for this research was provided by:

Nigde Omer Halisdemir University
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Text and Data Mining valid from 2025-03-13

Version of Record valid from 2025-03-13
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Article History

Received: 6 April 2024

Accepted: 8 February 2025

First Online: 13 March 2025

Declarations

:

: The authors stated that there is no conflict of interest for this study.

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