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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Vydáno v:	Applied thermal engineering Ročník 222; s. 119864
Hlavní autoři:	Anooj, G. Venkata Sai, Marri, Girish Kumar, Balaji, C.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 05.03.2023
Témata:	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
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