A method for the detection of abnormal behavior in HVAC systems is presented. The method combines deterministic subspace\nidentification for each zone independently to create a system model that produces the anticipated zone�s temperature and the\nsequential test CUSUM algorithm to detect drifts of the rate of change of the difference between the real and the anticipated\nmeasurements. Simulation results regarding the detection of infiltration heat losses and the detection of exogenous heat gains\nsuch as fire demonstrate the effectiveness of the proposed method.
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