文摘
We propose an extended virtual in-situ calibration method for building systems. Sensor errors and uncertain parameters are included in the distance function. Bayesian inference is used to account for intrinsic uncertainties of variables. Local, global, and combined calibration approaches are evaluated. Accurate calibration with various error types can be achieved with the new method.