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

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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Bibliographic Details
Main Authors: Jiaming Guo, Dongfeng Liu, Shitao Lin, Jicheng Lin, Wenbin Zhen
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Applied Sciences
Subjects:
temperature prediction
LSTM neural network
phase change materials
fresh products
Online Access:https://www.mdpi.com/2076-3417/14/2/854

Internet

https://www.mdpi.com/2076-3417/14/2/854

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