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)

References

1 
Bradford, K., Coleman, J., and Meggers, F., 2022, Understanding the gap between efficiency and comfort, IEEE International Workshop on Metrology for Living Environment (MetroLivEn), pp. 180-185.DOI
2 
Fisk, W. J. and De Almeida, A. T., 1998, Sensor-based demand-controlled ventilation: A review, Energy and Buildings, Vol. 29, pp. 35-45.DOI
3 
World Health Organization (WHO), 2022, Household air pollution and health, Paper format, https://www.who.int/en/news-room/fact-sheets/detail/household-air-pollution-and-health.URL
4 
Nachman, K. E. and Parker, J. D., 2012, Exposures to fine particulate air pollution and respiratory outcomes in adults using two national datasets: A cross-sectional study, Environmental Health, Vol. 11, No. 25.DOI
5 
Kyung, S. Y., Kim, Y. S., Kim, W. J., Park, M. S., Song, J. W., Yum, H., Yoon, H. K., Rhee, C. K., and Jeong, H. S., 2015, Guideline for the prevention and management of particulate matter/Asia dust particle-induced adverse health effect on the patients with pulmonary diseases, J Korean Med Assoc., Vol. 58, No. 11, pp. 1060-1069.DOI
6 
Kim, Y. M., Kim, J., Ha, S. C., and Ahn, K., 2021, Effects of exposure to indoor fine particulate matter on atopic dermatitis in children, International Journal of Environmental Research and Public Health, Vol. 18, No. 21.DOI
7 
Newly found health effects of air pollution call for stronger European Union air policies, Paper format, https://www.who.int/europe/news/item/31-01-2013-newly-found-health-effects-of-air-pollution-call-for-stronger-european-union-air-policies, 2013.01.31.URL
8 
Choi, Y. J., Park, B. R., Song, Y. W., Choi, E. J., and Moon, J. W., 2020, Analysis of Ventilation Systems and Control Methods for Optimal Indoor Air Quality in School Buildings, KIEAE Journal, Vol. 20, pp. 131-137.URL
9 
Kim, M. K. and Hong, C. E., 2016, The Artificial Neural Network based electric power demand forecast using a season and weather informations, Journal of the Institute of Electronics and Information Engineers, Vol. 53, pp. 71-78.DOI
10 
Cho, J., Heo, Y., and Moon, J. W., 2023, An intelligent HVAC control strategy for supplying comfortable and energy-efficient school environment, Advanced Engineering Informants, Vol. 55.DOI
11 
Choi, Y. Y. and Lee, H. S., 2018, Intelligent and responsive window opening-closing operation process for carbon dioxide(CO2) management of secondary school classroom, Journal of the Korean Institute of Educational Facilities, Vol. 25, pp. 19-30.DOI
12 
Shi, T., Yang, W., Qi, A., Li, P., and Qiao, J., 2023, LASSO and attention-TCN: A concurrent method for indoor particulate matter prediction, Applied Intelligence, Vol. 53, pp. 20076-20090.DOI
13 
Peng, Y., Lei, Y., Tekler, Z. D., Antanuri, N., Lau, S., and Chong, A., 2022, Hybrid system controls of natural ventilation and HVAC in mixed-mode buildings: A comprehensive review, Energy and Buildings, Vol. 276, p. 112509.DOI
14 
Choi, Y. J., Choi, E., Cho, H. U., and Moon, J. W., 2021, Development of an indoor particulate matter (PM2.5) prediction model for improving school indoor air quality environment, KIEAE Journal, Vol. 21, No. 1, pp. 35-40.URL
15 
Byun, J. Y., Kim, T. W., Choi, Y. J., and Moon, J. W., 2022, Development of particulate matter (PM2.5) prediction model for school facilities based on living lab data, KIEAE Journal, Vol. 22, No. 1, pp. 90-91.URL
16 
Taheri, S. and Razban, A., 2021, Learning-based CO2 concentration prediction: Application to indoor air quality control using demand-controlled ventilation, Building and Environment, Vol. 205, p. 108164.DOI
17 
Lagesse, B., Wang, S., Larson, T. V., and Kim, A. A., 2020, Predicting PM2.5 in well-mixed indoor air for a large office building using regression and artificial neural network models, Environmental Science & Technology, Vol. 54, pp. 15320-15328.DOI
18 
Kim, T. W., Byun, J. Y., Yun, J. Y., Jung, Y. G., and Moon, J. W., 2024, Performance analysis of particulate matter priority control algorithm for outdoor Air-Introduced ventilation cleaner using prediction model, Energy and Buildings, Vol. 324, p. 114885.DOI
19 
Bae, K. W., Kim, T. W., Byun, J. Y., Seo, M. C., and Moon, J. W., 2024, Development of an indoor CO2 prediction model and optimal ventilation control algorithm based on an occupant personal information. KIEAE Journal, Vol. 24, No. 5, pp. 45-52.URL