Forecasting savings of building energy systems using artificial neural networks

Author(s):  
Andrew Scott Ours ◽  
Nabil Nassif ◽  
Darrion Long
2003 ◽  
Vol 125 (3) ◽  
pp. 331-342 ◽  
Author(s):  
Moncef Krarti

An overview of commonly used methodologies based on the artificial intelligence approach is provided with a special emphasis on neural networks, fuzzy logic, and genetic algorithms. A description of selected applications to building energy systems of AI approaches is outlined. In particular, methods using the artificial intelligence approach for the following applications are discussed: Prediction energy use for one building or a set of buildings (served by one utility), Modeling of building envelope heat transfer, Controlling central plants in buildings, and Fault detection and diagnostics for building energy systems.


2016 ◽  
Vol 7 (2) ◽  
pp. 24-34 ◽  
Author(s):  
Maya Arida ◽  
Nabil Nassif ◽  
Rand Talib ◽  
Taher Abu-Lebdeh

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