A data-driven method to construct prediction model of solar stills

The interdisciplinary field between solar desalination and machine learning is the subject of a cutting-edge study. Generally, the studies treat data acquisition and model construction as independent processes, leading to problems such as insufficient dataset size or resource wastage. This study pro...

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Vydané v:	Desalination Ročník 587; s. 117946
Hlavní autori:	Sun, Senshan, Du, Juxin, Peng, Guilong, Yang, Nuo
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 15.10.2024
Predmet:	Data acquisition Machine learning Process optimization Production predicting Solar stills Solar stills Process optimization Production predicting Data acquisition Machine learning
ISSN:	0011-9164
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