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Building simulation models play a vital role in optimal building climate control, energy audit, fault detection and diagnosis, continuous commissioning, and planning. Real system parameters are often unknown or partially unknown and need to be identified through historical data, which are currently acquired by heuristically designed experiments. Without quality sensor data, model calibration is prone...
Model-based control strategies are widely advocated to improve the energy efficiency of building systems but they require accurate dynamic building models, which are often difficult to obtain in practice. While modeling a multi-zone lab for model-based control, we observed that the experimental data often does not have sufficient quality for system identification. To address this problem, we propose...
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