Machine-learning-based compressor models: A case study for variable refrigerant flow systems

Author:

Wan Hanlong,Cao Tao,Hwang YunhoORCID,Chang Se-Dong,Yoon Young-Jin

Funder

University of Maryland

Publisher

Elsevier BV

Subject

Mechanical Engineering,Building and Construction

Reference39 articles.

1. Air compressor fault diagnosis through statistical feature extraction and random forest classifier;Aravinth;Prog. Ind. Ecol. Int. J.,2018

2. Beshr, M., Aute, V., Radermacher, R., 2016. Steady state modeling of advanced vapor compression systems 10.

3. Energy Consumption Characteristics of Commercial Building HVAC Systems Volume III: Energy Savings Potential;Brodrick,2002

4. Machine learning enhanced inverse modeling method for variable speed air conditioning systems;Chen;Int. J. Refrig.,2020

5. A thermodynamic analysis of refrigerants: Performance limits of the vapor compression cycle;Domanski;Int. J. Refrig.,2014

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