Expert systems, neural networks and artificial intelligence applications in commercial building HVAC operations.
Author(s) : KREIDER J. F., WANG X. A., ANDERSON D., DOW J.
Type of article: Article
Summary
Reports on some of the key results of work in the USA to apply various artificial intelligence methods to commercial buildings. States that expert systems enhanced with neural networks trained by historical building data appear to be particularly promising for efficient and semi-automatic supervision of HVAC systems for commercial buildings. Concludes that it appears that the over-reliance on logic associated with expert systems alone can be reduced with a better end result using neural network.
Details
- Original title: Expert systems, neural networks and artificial intelligence applications in commercial building HVAC operations.
- Record ID : 1994-1088
- Languages: English
- Source: Autom. Constr. - vol. 1 - n. 3
- Publication date: 1992/12
- Document available for consultation in the library of the IIR headquarters only.
Links
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Indexing
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- Source: ASHRAE Transactions.1997 Annual Meeting, Boston, MA.
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- Source: Transactions of the Japan Society of Refrigerating and Air Conditioning Engineers - vol. 26 - n. 1
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