A Bayesian Network model for predicting cooling load of commercial buildings

Author:

Huang Sen,Zuo Wangda,Sohn Michael D.

Publisher

Springer Science and Business Media LLC

Subject

Energy (miscellaneous),Building and Construction

Reference58 articles.

1. Alajmi A (2012). Energy audit of an educational building in a hot summer climate. Energy and Buildings, 47: 122–130.

2. ASHRAE (2012). ASHRAE Handbook—HVAC Systems and Equipment. Atlanta, GA, USA: American Society of Heating, Refrigerating, and Air-Conditioning Engineers.

3. Ben-Nakhi AE, Mahmoud MA (2004). Cooling load prediction for buildings using general regression neural networks. Energy Conversion and Management, 45: 2127–2141.

4. Birdsall B, Buhl WF, Ellington KL, Erdem AE, Winkelmann FC (1990). Overview of the DOE-2 Building Energy Analysis Program, Version 2. 1D. Technical Report LBL-19735-Rev.1.

5. Braun JE, Chaturvedia N (2002). An inverse gray-box model for transient building load prediction. HVAC&R Research, 8: 73–99.

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