| 1 |
Improved solar milk chilling system using variable refrigerant flow technology (VRF)
Khan KS, Amjad W, Munir A, Hensel O
Solar Energy, 197, 317, 2020 |
| 2 |
An efficient online wkNN diagnostic strategy for variable refrigerant flow system based on coupled feature selection method
Li ZF, Tan JM, Li SB, Liu JY, Chen HX, Shen JQ, Huang RG, Liu JH
Energy and Buildings, 183, 222, 2019 |
| 3 |
Review on recent developments of variable refrigerant flow systems since 2015
Zhang GH, Xiao HS, Zhang PL, Wang BL, Li XT, Shi WX, Cao Y
Energy and Buildings, 198, 444, 2019 |
| 4 |
Deep learning-based fault diagnosis of variable refrigerant flow air-conditioning system for building energy saving
Guo YB, Tan ZH, Chen HX, Li GN, Wang JY, Huang RG, Liu JY, Ahmad T
Applied Energy, 225, 732, 2018 |
| 5 |
Field test and simulation evaluation of variable refrigerant flow systems performance
Lee JH, Im P, Song YH
Energy and Buildings, 158, 1161, 2018 |
| 6 |
A machine learning bayesian network for refrigerant charge faults of variable refrigerant flow air conditioning system
Hu M, Chen HX, Shen LM, Li GN, Guo YB, Li HR, Li J, Hu WJ
Energy and Buildings, 158, 668, 2018 |
| 7 |
A Study on verification of changes in performance of a water-cooled VRF system with control change based on measuring data
Lee JH, Kim H, Song YH
Energy and Buildings, 158, 712, 2018 |
| 8 |
Model calibration of a variable refrigerant flow system with a dedicated outdoor air system: A case study
Kim D, Cox SJ, Cho H, Im P
Energy and Buildings, 158, 884, 2018 |
| 9 |
A novel Variable Refrigerant Flow (VRF) heat recovery system model: Development and validation
Zhang RP, Sun KY, Hong TZ, Yura Y, Hinokuma R
Energy and Buildings, 168, 399, 2018 |
| 10 |
Energy diagnosis of variable refrigerant flow (VRF) systems: Data mining technique and statistical quality control approach
Liu JY, Liu JH, Chen HX, Yuan Y, Li ZF, Huang RG
Energy and Buildings, 175, 148, 2018 |
