ShareEnergy management in central HVAC plants using neural networks.
Author(s) : CURTISS P. S., BRANDEMUEHL M. J., KREIDER J. F.
Summary
The paper demonstrates how neural networks can be used to optimize energy consumption in a commercial-scale HVAC system. Rather than using computer simulations, the building energy data are generated using an HVAC laboratory. It is hoped that by using information from an actual system, the potential uses and limitations of system-wide optimization techniques will be realized.
Details
- Original title: Energy management in central HVAC plants using neural networks.
- Record ID : 1995-2547
- Languages: English
- Source: ASHRAE Transactions 1994.
- Publication date: 1994
- Document available for consultation in the library of the IIR headquarters only.
Links
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Indexing
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Adaptive control of HVAC processes using predic...
- Author(s) : CURTISS P. S., KREIDER J. F., BRANDEMUEHL M. J.
- Date : 1993
- Languages : English
- Source: ASHRAE Transactions 1993.
View record
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Study on control of HVAC systems using artifici...
- Author(s) : HASHIMOTO Y., MURASAWA I.
- Date : 1998/01
- Languages : Japanese
- Source: Transaction of the Society of Heating, Air-conditioning and Sanitary Engineers of Japan - n. 68
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Artificial Neural Network (ANN) research in HVA...
- Author(s) : LI Y., WANG Y.
- Date : 2001/02
- Languages : Chinese
- Source: HV & AC - vol. 31 - n. 138
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Simulation des optimalen Raumluftzustandes mit ...
- Author(s) : GLÜCK B.
- Date : 1998/11
- Languages : German
- Source: KI Luft Kältetech. - vol. 34 - n. 11
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A neural-network-based identifier/controller fo...
- Author(s) : SO A. T. P., CHAN W. L., CHOW T. T., TSE W. L.
- Date : 1995/06/24
- Languages : English
- Source: ASHRAE Transactions.
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