Development of an Inverse Method to Estimate Overall Building and Ventilation Parameters of Large Commercial Buildings
暂无分享,去创建一个
[1] C. O. Pedersen,et al. Application of system identification techniques to the determination of thermal response factors from experimental data , 1973 .
[2] Alan Meier,et al. Testing the accuracy of a measurement-based building energy model with synthetic data , 1988 .
[3] David E. Claridge,et al. Use of Simplified System Models to Measure Retrofit Energy Savings , 1993 .
[4] David E. Claridge,et al. Using synthetic data to evaluate multiple regression and principal component analyses for statistical modeling of daily building energy consumption , 1994 .
[5] K. Subbarao,et al. PSTAR: Primary and secondary terms analysis and renormalization: A unified approach to building energy simulations and short-term monitoring , 1988 .
[6] David E. Claridge,et al. Extending the concept of energy delivery efficiency (EDE) of HVAC systems , 1998 .
[7] David E. Claridge,et al. A Four-Parameter Change-Point Model for Predicting Energy Consumption in Commercial Buildings , 1992 .
[8] B. D. Hunn,et al. Comparison of DOE-2 computer program simulations to metered data for seven commercial buildings , 1981 .
[9] Miriam L. Goldberg,et al. Using the scorekeeping approach to monitor aggregate energy conservation , 1986 .
[10] David E. Claridge,et al. An Energy Delivery Efficiency Index to Evaluate Simultaneous Heating and Cooling Effects in Large Commercial Buildings , 1994 .
[11] R. Sonderegger. Diagnostic tests determining the thermal response of a house , 1977 .
[12] Ari Rabl. Parameter estimation in buildings: Methods for dynamic analysis of measured energy use , 1988 .
[13] David E. Claridge,et al. Multivariate Regression Modeling , 1998 .