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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Veröffentlicht in:	Desalination Jg. 587; S. 117946
Hauptverfasser:	Sun, Senshan, Du, Juxin, Peng, Guilong, Yang, Nuo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 15.10.2024
Schlagworte:	Data acquisition Machine learning Process optimization Production predicting Solar stills Solar stills Process optimization Production predicting Data acquisition Machine learning
ISSN:	0011-9164
Online-Zugang:	Volltext
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