Review on nanofluids and machine learning applications for thermoelectric energy conversion in renewable energy systems

DOI10.1016/j.enganabound.2022.08.004OpenAlexW4293156106WikidataQ113875149 ScholiaQ113875149MaRDI QIDQ6137918

Damla Okulu, Fatih Selimefendigil, Hakan F. Oztop

Publication date: 16 January 2024

Published in: Engineering Analysis with Boundary Elements (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.enganabound.2022.08.004

zbMATH Keywords

computational efficiencymachine learningnanofluidsclean energythermoelectric conversion

Mathematics Subject Classification ID

Computer science (68-XX) Operations research, mathematical programming (90-XX)

Cites Work

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• Investigation of viscosity and thermal conductivity of SiC nanofluids for heat transfer applications
• Nanofluid flow and heat transfer between parallel plates considering Brownian motion using DTM
• A survey on semi-supervised learning
• A review on evolutionary algorithms in Bayesian network learning and inference tasks

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