Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/60970
Title: A general method for calculating the uncertainty of virtual sensors for packaged air conditioners
Authors: Cheung, H
Braun, JE
Keywords: Leverage
Packaged air conditioners
Regression diagnostics
Uncertainty
Virtual sensor
Issue Date: 2016
Publisher: Elsevier
Source: International journal of refrigeration, 2016, v. 63, p. 225-236 How to cite?
Journal: International journal of refrigeration 
Abstract: Virtual sensors use data from low-cost measurements and calibrated models to provide outputs that would either be too expensive or impossible to measure directly. Virtual sensor technology has the potential to enable cost-effective implementation of advanced monitoring, diagnostic, and/or control features for buildings. While it is commonly known that the reliability of virtual sensors depends on the amount and conditions of calibration data, no methods have been presented that quantify the effect of the conditions of calibration data on virtual sensor output uncertainty. In this paper, a general method is presented for estimating the virtual sensor output uncertainty in terms of the uncertainty, conditions and amount of calibration data. The method is demonstrated with a power consumption virtual sensor for packaged air conditioning systems.
URI: http://hdl.handle.net/10397/60970
ISSN: 0140-7007
EISSN: 1879-2081
DOI: 10.1016/j.ijrefrig.2015.06.022
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