Mobile QR Code QR CODE : Korean Journal of Air-Conditioning and Refrigeration Engineering
Korean Journal of Air-Conditioning and Refrigeration Engineering

Korean Journal of Air-Conditioning and Refrigeration Engineering

ISO Journal TitleKorean J. Air-Cond. Refrig. Eng.
  • Open Access, Monthly
Open Access Monthly
  • ISSN : 1229-6422 (Print)
  • ISSN : 2465-7611 (Online)


Li H., Yu D., Braun E. J. E., 2011, A Review of Virtual Sensing Technology and Application in Building Systems, HVAC&R Reserach, Vol. 17, pp. 619-645DOI
Cheung H., Braun J. E., 2016, Minimizing Data Collection for Field Calibration of Steady-State Virtual Sensors for HVAC Equipment, International Journal of Refrigeration, Vol. 69, pp. 96-105DOI
Ploennigs J., Ahmed A., Hensel B., Stack P., Menzel K., 2011, Virtual Sensors for Estimation of Energy Consumption and Thermal Comfort in Buildings with Underfloor Heating, Advanced Engineering Informatics, Vol. 25, No. 4, pp. 688-698DOI
Zhao X., Yang M., Li H., 2012, A Virtual Condenser Fouling Sensor for Chillers, Energy and Buildings, Vol. 52, pp. 68-76DOI
Himeur Y., Alsalemi A., Al-Kababji A., Bensaali F., Amira A., 2020, Data Fusion Strategies for Energy Efficiency in Buildings: Overview, Challenges and Novel Orientations, information fusion, Vol. 64, pp. 99-120DOI
Yu D., Li H., Yang M., 2011, A Virtual Supply Airflow Rate Meter for Rooftop Air-Conditioning Units, Building and Environment, Vol. 46, pp. 1292-1302DOI
Hong Y., Yoon S., Kim Y. S., Jang H., 2021, System-level Virtual Sensing Method in Building Energy Systems Using Autoencoder: Under the Limited Sensors and Operational Datasets, Applied Energy, Vol. 301, No. 117458DOI
Yoon S., Choi Y., Koo J., Hong Y., Kim R., Kim J., 2020, Virtual Sensors for Estimating District Heating Energy Consumption under Sensor Absences in a Residential Building, Energies, Vol. 13, No. 6013DOI
Choi Y., Yoon S., 2021, Autoencoder-driven Fault Detection and Diagnosis in Building Automation Systems: Residual-based and Latent Space-based Approaches, Building and Environment, Vol. 203, No. 108066DOI
Zhao Y., Li T., Zhang X., Zhang C., 2019, Artificial Intelligence-based Fault Detection and Diagnosis Methods for Building Energy Systems: Advantages, Challenges and the Future, renewable and sustainable energy review, Vol. 109, pp. 85-101DOI
Choi Y., Yoon S., Kim Y. S., 2021, A Study on System Heat Loss Monitoring Model in a Residential Building District Heating System Under the Limited Sensing Environment, Proceeding of SAREK 2021 Summer Annual Conference,, pp. 43-36Google Search
Somu N., Sriram A., Kowli A., Ramamritham K., 2021, A Hybrid Deep Transfer Learning Strategy for Thermal Comfort Prediction in Buidings, Building and Environment, Vol. 24, No. 108133DOI
Choi Y., Yoon S., 2020, Virtual Sensor-assisted in Situ Sensor Calibration in Operational HVAC Systems, Building and Environment, Vol. 181, No. 107079DOI