Investigating the Effect of Cloud Cover on Radiative Cooling Potential With Artificial Neural Network Modeling

Investigating the Effect of Cloud Cover on Radiative Cooling Potential With Artificial Neural Network Modeling

Radiative cooling is a novel and promising technology in which, heat is radiated through the infrared wavelength (8–13 μm) to the cold outer space, while the incident solar radiation (0.3–4 μm) is reflected. This leads to a temperature reduction in the material that can be utilized as a free and ren...

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Bibliografiske detaljer
Main Authors:	Reza Mokhtari, Samaneh Fakouriyan, Roghayeh Ghasempour
Format:	Article
Sprog:	English
Udgivet:	Frontiers Media S.A. 2021-04-01
Serier:	Frontiers in Energy Research
Fag:	radiative sky cooling daytime radiative cooling cloud cover machine learning artificial neural networks
Online adgang:	https://www.frontiersin.org/articles/10.3389/fenrg.2021.658338/full

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