A machine learning methodology for the diagnosis of phase change material-based thermal management systems

Phase change materials (PCM) have received significant interest in various thermal energy storage and management applications due to their ample latent heat during the phase transition process. As PCM plays a vital role in these systems, knowledge of the state of the PCM is crucial for the sustained...

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Bibliographic Details

Published in:	Applied thermal engineering Vol. 222; p. 119864
Main Authors:	Anooj, G. Venkata Sai, Marri, Girish Kumar, Balaji, C.
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 05.03.2023
Subjects:	Liquid fraction prediction Phase change materials Recurrent neural networks Surrogate modeling Liquid fraction prediction Phase change materials Recurrent neural networks Surrogate modeling
ISSN:	1359-4311
Online Access:	Get full text
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