Código QR (código de barras bidimensional)

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...

Fuld beskrivelse

Na minha lista:
Principais autores: Poyyamozhi Natesan, M.P. Rajakumar, Sreevidya R C, Srimanickam B, Suresh Vellaiyan, Nguyen Van Minh
Format: Artigo
Sprog:Inglês
Udgivet: Elsevier 2025-10-01
Serier:Case Studies in Thermal Engineering
Fag:
Exergy efficiency
TiO2 nanofluid
Machine learning models
Wavelet transform
Renewable energy systems
Online adgang:http://www.sciencedirect.com/science/article/pii/S2214157X25010755
Tags: Tilføj Tag
Ingen Tags, Vær først til at tagge denne postø!

Lignende værker