Forecasting savings of building energy systems using artificial neural networks

2016 ◽  
Author(s):  
Andrew Scott Ours ◽  
Nabil Nassif ◽  
Darrion Long
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Energy Systems ◽  
Building Energy ◽  
Building Energy Systems ◽  
Artificial Neural

An Overview of Artificial Intelligence-Based Methods for Building Energy Systems

2003 ◽  
Vol 125 (3) ◽  
pp. 331-342 ◽  
Author(s):  
Moncef Krarti
Keyword(s):  
Heat Transfer ◽  
Artificial Intelligence ◽  
Neural Networks ◽  
Energy Use ◽  
Energy Systems ◽  
Building Energy ◽  
Building Envelope ◽  
Building Energy Systems ◽  
Intelligence Approach ◽  
Artificial Intelligence Approach

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.

scholarly journals Building Energy Modeling Using Artificial Neural Networks

2016 ◽  
Vol 7 (2) ◽  
pp. 24-34 ◽  
Author(s):  
Maya Arida ◽  
Nabil Nassif ◽  
Rand Talib ◽  
Taher Abu-Lebdeh
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Building Energy ◽  
Energy Modeling ◽  
Building Energy Modeling ◽  
Artificial Neural
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