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.
An Overview of Artificial Intelligence-Based Methods for Building Energy Systems
Contributed by the Solar Energy Division of THE AMERICAN SOCIETY OF MECHANICAL ENGINEERS for publication in the ASME JOURNAL OF SOLAR ENERGY ENGINEERING. Manuscript received by the ASME Solar Energy Division, January 2003; final revision, March 2003. Associate Editor: A. Reddy.
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Krarti, M. (August 4, 2003). "An Overview of Artificial Intelligence-Based Methods for Building Energy Systems ." ASME. J. Sol. Energy Eng. August 2003; 125(3): 331–342. https://doi.org/10.1115/1.1592186
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