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Low global warming potential R1234yf in a mobile air-conditioning system: a study on performance prediction using different machine learning approaches

Crossref DOI link: https://doi.org/10.1007/s10973-024-13715-2

Published Online: 2024-11-19

Published Print: 2024-12

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

Authors

Prabakaran, Rajendran

Gomathi, B.

Jeyalakshmi, P.

Thangamuthu, Mohanraj

Mohan Lal, Dhasan https://orcid.org/0000-0001-7882-3734
Kim, Sung Chul
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Text and Data Mining valid from 2024-11-19

Version of Record valid from 2024-11-19
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Article History

Received: 10 May 2024

Accepted: 5 October 2024

First Online: 19 November 2024

Declarations

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: The authors declare no conflicts of interest.

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