Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/25135
Title: Multiple ARMAX modeling scheme for forecasting air conditioning system performance
Authors: Yiu, JCM
Wang, S 
Keywords: Air conditioning
ARMAX model
Black box model
Performance prediction
System identification
Issue Date: 2007
Publisher: Pergamon Press
Source: Energy conversion and management, 2007, v. 48, no. 8, p. 2276-2285 How to cite?
Journal: Energy conversion and management 
Abstract: System identification is a procedure to characterize the dynamic behavior of a system, subsystem or individual component from measured data. This paper presents a study on the modeling and parameter identification of air conditioning processes by using the mathematical black box modeling technique, autoregressive moving average exogeneous (ARMAX) structure. A generic multiple input multiple output (MIMO) ARMAX structure of typical air conditioning systems is developed, whose parameters are identified by using the recursive extended least squares (RELS) method. The performance of the model is compared with that of a single input single output (SISO) ARMAX model. A significant component of the determination of an ARMAX model is the selection of an appropriate model order. Models of different orders and the effects of properties are evaluated. Site measurements from an air conditioning system in a building are used for the testing and validation of the models in the study.
URI: http://hdl.handle.net/10397/25135
ISSN: 0196-8904
EISSN: 1879-2227
DOI: 10.1016/j.enconman.2007.03.018
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