Temperature Prediction of a Temperature-Controlled Container with Cold Energy Storage System Based on Long Short-Term Memory Neural Network

Temperature prediction is important for controlling the environment in the preservation of fresh products. The phase change materials for cold storage make the heat transfer process complex, and the use of physical models for characterization and temperature prediction can be challenging. In order t...

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Библиографические подробности

Главные авторы:	Jiaming Guo, Dongfeng Liu, Shitao Lin, Jicheng Lin, Wenbin Zhen
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2024-01-01
Серии:	Applied Sciences
Предметы:	temperature prediction LSTM neural network phase change materials fresh products
Online-ссылка:	https://www.mdpi.com/2076-3417/14/2/854
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