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)


Green Technology Center , 2021, Carbon Neutral Technology Policy Trends in Major Countries, GTC FocusGoogle Search
Cho S. Y., Leigh S. B., 2017, Comparing Methodology of Building Energy Analysis: Comparative Analysis from Steady-state Simulation to Data-driven Analysis, KIEAE Journal, Vol. 17, No. 5, pp. 77-86DOI
Sadeghi G., Nazari S., Ameri M., Shamac F., 2020, Energy and Exergy Evaluation of the Evacuated Tube Solar Collector using Cu2O/water Nanofluid Utilizing ANN Methods, Sustainable Energy Techonologies and Assessments, Vol. 37, pp. 100578DOI
Kong X., Ma S., Ma T., Li Y., Cong X., 2021, Mass Flow Rate Prediction of Direct-expansion Solar-assisted Heat Pump using R290 Based on ANN Model, Solar Energy, Vol. 215, pp. 375-387DOI
Chung H. M., Yang Y. K., Lee K. H., Lee J. H., Moon J. W., 2017, Application of Artificial Neural Networks for Determining Energy-efficient Operating Set-points of the VRF Cooling System, Building and Environment, Vol. 125, pp. 77-87DOI
Qu Y., Xu J., Sun Y., Liu D., 2021, A Temporal Distributed Hybrid Deep Learning Model for Day-ahead Distributed PV Power Forecasting, Applied Energy, Vol. 304, pp. 117704DOI
Sivaneasan B., Yu C. Y., Goh K. P., 2017, Solar Forecasting using ANN with Fuzzy Logic Pre-processing, Energy Procedia, Vol. 143, pp. 727-732DOI
Bae S. M., Kwon Y. S., Moon J. W., Nam Y. J., 2021, Development of Performance Prediction Model for Water Source Heat Pump System based on Artificial Neural Network, KIEAE Journal, Vol. 21, No. 4, pp. 99-104Google Search
Bae S. M., Nam Y. J., 2022, Feasibility Analysis for an Integrated System using Photovoltaic-thermal and Ground Source Heat Pump based on Real-scale Experiment, Renewable Energy, Vol. 185, pp. 1152-1166DOI
USA: ASHRAE , 2014, ASHRAE Guideline 14-2014 Measurement of Energy, Demand, and Water Savings, pp. 16-19Google Search