Soft measurement and prediction of refrigerant leakage based on SVR-LSTM-Reference-Cited by-同舟云学术

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Soft measurement and prediction of refrigerant leakage based on SVR-LSTM

Published:2023-08 Issue: Volume:152 Page:303-314
ISSN:0140-7007
Container-title:International Journal of Refrigeration
language:en
Short-container-title:International Journal of Refrigeration

Author:

Yang Yuting,Xu Ling,Han Hua,Ren Zhengxiong,Wu Kongrui,Liu Feitian

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Mechanical Engineering,Building and Construction

Reference40 articles.

1. Virtual refrigerant charge sensor for booster refrigeration systems;Andreasen;Int. J. Refrig.,2021

2. Quantifying colocalization by correlation: the pearson correlation coefficient is superior to the Mander's overlap coefficient;Adler;Cytometry Part A,2010

3. Supermarket system characteristics and operating faults (RP-1615);Behfar;HVACR Res.,2018

4. Emissions and environmental impacts from air-conditioning and refrigeration systems;Calm;Int. J. Refrig.,2002

5. Introduction to Grey system theory;Deng;J. Grey Syst,1989

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Prediction of Structural Damage Trends Based on the Integration of LSTM and SVR;Applied Sciences;2023-06-14

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