참고문헌
- Energy Statistical Yearly Report, 2009, Korea Energy Economic Institute.
- Statistical Analysis on the Electric Power Consumption of Individual Usage of Building, 2002, Korea Energy Management Corporation.
- Davies, M. G., 1983, Transmission and storage characteristics of sinusoidally excited wall-A Review, Applied Energy, Vol. 15, pp. 167-231. https://doi.org/10.1016/0306-2619(83)90042-9
- Seem, J. E. et al., 1989, Transfer functions for efficient calculation of multidimensional transient heat transfer, ASME J. of Heat Transfer, Vol. 111.
- Spilter, J. D., Fisher, D. E. and Pedersen, C. O., 1997, The radiant time series cooling load calculation procedure, ASHRAE Transactions, Vol. 103, No. 2, pp. 503-515.
- Hou, Z., Lian, Z., Yao, Y. and Yuan, X., 2006, Cooling-load prediction by the combination of rough set theory and an artifical neural-network based on data-fusion technique, Applied Energy, Vol. 83, pp. 1033-1046. https://doi.org/10.1016/j.apenergy.2005.08.006
- Yang, J., Rivard, H and Zmeureanu, R., 2005, On-line building energy prediction using adaptive artifical neural network, Energy and Building, Vol. 37, pp. 1250-1259. https://doi.org/10.1016/j.enbuild.2005.02.005
- Li, O., Meng, Q., Yoshino, H and Mochida, A., 2009, Predicting hourly cooling load in the building: A comparison of support vector machine and different artificial neural network, Energy Conversion and Management, Vol. 50, pp. 90-96. https://doi.org/10.1016/j.enconman.2008.08.033
- Yoo, S. H., Lee, J. M., Han, K. H. and Han, S. H., 2006, A study on prediction of temperature and humidity for estimation of cooling load, Korean Journal of Air-Conditioning and Refrigeration Engineering, Vol. 19, No. 5, pp. 394-402.
- Yoo, S. H., Han, K. H., Lee, J. M. and Han, S. H., 2006, A study on estimation of cooling load for effective control of ice thermal storage system, Korean Journal of Air-Conditioning and Refrigeration Engineering, Vol. 19, No. 5, pp. 394-402.