Overall heat loss coefficient and domestic energy gain factor for single-family buildings
暂无分享,去创建一个
[1] Thomas Olofsson,et al. A method for predicting the annual building heating demand based on limited performance data , 1998 .
[2] J. Waldemark,et al. Neural network modelling of the heat load in district heating systems , 1992 .
[3] Stig Hammarsten,et al. A critical appraisal of energy-signature models , 1987 .
[4] Moncef Krarti,et al. Building Energy Use Prediction and System Identification Using Recurrent Neural Networks , 1995 .
[5] Yoh-Han Pao,et al. Adaptive pattern recognition and neural networks , 1989 .
[6] T. Olofsson,et al. Long-term energy demand predictions based on short-term measured data , 2001 .
[7] Philip D. Wasserman,et al. Advanced methods in neural computing , 1993, VNR computer library.
[8] Youming Chen,et al. A neural-network-based experimental technique for determining z-transfer function coefficients of a building envelope , 2000 .
[9] Martin W. Liddament. A Review of European Research into Airtightness and Air Infiltration Measurement Techniques , 1986 .
[10] Moncef Krarti,et al. Estimation of energy savings for building retrofits using neural networks , 1998 .
[11] Trine Dyrstad Pettersen,et al. Variation of energy consumption in dwellings due to climate, building and inhabitants , 1994 .
[12] Philip D. Wasserman,et al. Neural computing - theory and practice , 1989 .
[13] Thomas Olofsson,et al. Energy load predictions for buildings based on a total demand perspective , 1998 .
[14] David E. Claridge,et al. Measuring energy-saving retrofits: Experiences from the Texas LoanSTAR program , 1996 .
[15] Jeff Haberl,et al. The Great Energy Predictor Shootout II : Measuring Retriofit Savings-Overview and Discussion of Results , 1996 .