Prediction of the cop of existing rooftop units using artificial neural networks and minimum number of sensors

R. Zmeureanu

Energy, 2002, vol. 27, issue 9, 889-904

Abstract: This paper proposes a new approach for evaluating the Coefficient of Performance (COP) of existing rooftop units, using the General Regression Neural Networks. This approach reduces the installation cost of monitoring equipment since only a minimum number of sensors is needed, and it also reduces the costs for re-calibration or replacement of sensors during the operation. The new approach was developed and tested using measurements taken on two existing rooftop units in Montreal, Canada.

Date: 2002
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:27:y:2002:i:9:p:889-904

DOI: 10.1016/S0360-5442(02)00027-0

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