Exergy efficiency optimization of a water-based titanium dioxide nanofluid hybrid solar collector using advanced machine learning models

This study investigates the exergy efficiency of a hybrid solar collector using water and water-based titanium dioxide (TiO2) nanofluids, employing advanced machine learning (ML) models to optimize performance evaluation. Support Vector Regression (SVR), Random Forest (RF), and a hybrid approach inc...

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主要な著者:	Poyyamozhi Natesan, M.P. Rajakumar, Sreevidya R C, Srimanickam B, Suresh Vellaiyan, Nguyen Van Minh
フォーマット:	Artigo
言語:	Inglês
出版事項:	Elsevier 2025-10-01
シリーズ:	Case Studies in Thermal Engineering
主題:	Exergy efficiency TiO2 nanofluid Machine learning models Wavelet transform Renewable energy systems
オンライン･アクセス:	http://www.sciencedirect.com/science/article/pii/S2214157X25010755
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