Submitted by Maria.Kapsalaki on Wed, 06/28/2023 - 18:07
Sensor errors have an important impact on the operation, control, and detection of building energy systems. Correct and reliable sensors can effectively reduce the energy consumption of building energy systems. Virtual in-situ calibration (VIC) based on Bayesian inference and Markov Chain Monte Carlo method that no need to increase extra or install new sensors can effectively reduce systematic error and random error of the sensor and increase the reliability.