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...

Description complète

Détails bibliographiques

Auteurs principaux:	Jiaming Guo, Dongfeng Liu, Shitao Lin, Jicheng Lin, Wenbin Zhen
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2024-01-01
Collection:	Applied Sciences
Sujets:	temperature prediction LSTM neural network phase change materials fresh products
Accès en ligne:	https://www.mdpi.com/2076-3417/14/2/854
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!