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)
Online Submission

Journal Search

  1. Home
  2. Archive
  3. 2017-10 (Vol.29 No.10)
  4. 10.6110/KJACR.2017.29.10.497
XML PDF INFO REF

References

1 
Kim M. K., Hong C. U., 2016, The Aritificial Neural Network based Electric Power Demand Forecast using a Season and Weather Informations, Journal of Institute of Electronics and Information Engineers, Vol. 53, No. 1, pp. 71-78DOI
2 
Yang I. H., Kim K. W., 2000, Development of Artificial Neural Network Model for the Prediction of Descending Time of Room Air Temperature, The Society Of Air-Conditioning And Refrigerating Engineers of Korea, Vol. 12, No. 11, pp. 1038-1048Google Search
3 
Baik Y. K., Yoon Y. J., Moon J. W., 2016, Development of Artificial Neural Network Model for Predicting the Optimal Setback Application of the Heating Systems, Korea Institute of Ecological Architecture And Environment, Vol. 16, No. 3, pp. 89-94DOI
4 
Baek C. I., Han H. T., Jang K. J., 2014, Estimation of Building Heating Load using Machine Learning Technique, The Society Of Air-Conditioning And Refrigerating Engineers of Korea, Vol. 16, No. 3, pp. 253-255Google Search
5 
Kong D. S., Kwak Y. H., Huh J. H., 2010, Artificial Neural Network based Energy Demand Prediction for the Urban District Energy Planning, Architectural Institute of Korea, Vol. 26, No. 2, pp. 221-230Google Search
6 
Kim H. S., Moon K. J., Park J. H., 1999, Development of Electric Load Forecasting System Using Neural Network, The Korean Institute of Electrical Engineers, pp. 1522-1524Google Search
7 
Chow T. W. S., Leung C. T., 1996, Neural Network based Short-Term Load Forecasting Using Weather Compensation, IEEE Transactions on Power Systems, Vol. 11, No. 4, pp. 1736-1742DOI
8 
Peng T. M., Hubele N. F., Karady G. G., 1993, An Adaptive Neural Network Approach To One-Week Ahead Load Forecasting, IEEE Transactions on Power Systems, Vol. 8, No. 3, pp. 1195-1203DOI
9 
Ekici B. B., Aksoy U. T., 2009, Prediction of Building energy consumption by using artificial neural networks, Advances in Engineering Software, Vol. 40, pp. 356-362DOI
10 
ASHRAE , 2012, Measurement of energy and demand saving, ASHRAE.Google Search
11 
DOE , 1996, Measurement and Verification Guideline for Federal Energy Projects, DOE.Google Search
12 
IPMVP/DOE , 2002, International Performance Measurement & Verification Protocol, IPMVP.Google Search
13 
Hikmet K. C., Murat A., 2006, Generalized regression neural network in modelling river sediment yield, Advances in Engineering Software, Vol. 37, pp. 63-68DOI