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The role of machine learning in optimizing nanofluid-driven solar thermal technologies: a state-of-the-art review

Published Online: 2025-07-01

Published Print: 2025-09

Authors

Deshmukh, Kishor https://orcid.org/0000-0002-3131-9175
Aher, Amrut

Sharma, Vipin
Funding

Funding for this research was provided by:

Board of College and University Development, Savitribai Phule Pune University (20TEC000048)
License Information

Text and Data Mining valid from 2025-07-01

Version of Record valid from 2025-07-01
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Article History

Received: 31 January 2025

Accepted: 12 June 2025

First Online: 1 July 2025

Declarations

:

: The authors declare that there is no conflict of interest.

: The authors have adhered to ethical standards in reviewing, interpreting, and presenting the findings to provide an unbiased and transparent overview of the topic.

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