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http://dx.doi.org/10.7836/kses.2012.32.3.042

Neural Network Application for Geothermal Heat Pump Electrical Load Prediction  

Anindito, Satrio (Renewable Energy Engineering, University of Science and Technology)
Kang, Eun-Chul (Korea Institute of Energy Research)
Lee, Euy-Joon (Korea Institute of Energy Research)
Publication Information
Journal of the Korean Solar Energy Society / v.32, no.3, 2012 , pp. 42-49 More about this Journal
Keywords
Neural Network; Geothermal Heat Pump; Electrical Power Consumption; Outdoor Temperature;
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  • Reference
1 Kreider, K.F., and J.S. Haberl. Predicting hourly building energy use: The great energy predictor shootout - Overview and discussion of result, 1994. ASHRAE Transactions 100(2), pp 1104-1118.
2 Anindito, S., Hadisupadmo, S., Samsi, A., Design and Implementation of Water Level and Temperature Controller by Using Artificial Neural Network of Mini-Plant Process, Final Year Project - Physics Engineering - Bandung Institute of Technology, 2009.
3 Climate Master Tranquility 27 Manual
4 Clean Energy Project Analysis: RETScreen Engineering & Cases Textbook Ground-Source Heat Pump Project Analysis Chapter, Minister of Natural Resources Canada; 2001-2005
5 M. Anstett., J.F. Kreider., Application of Neural Networking Models to Predict Energy Use. ASHRAE Transactions.
6 Kreider, K.F., and X.A. Wang. Improved artificial networks for commercial building energy use prediction. Proceedings of the ASME Annual Solar Engineering Meeting, 1992, Maui, HI, vol. 1, pp. 361-366.
7 Han H.S., Ground Source Heat Pump Heating/Cooling System, Hallymwon, 2004.