Building energy simulation (BES) plays a significant role in buildings with applications such as architectural design, retrofit analysis, and optimizing building operation and controls. There is a recognized need for model calibration to improve the …
This paper provides practical guidelines to the Bayesian calibration of building energy models using the probabilistic programming language Stan. While previous studies showed the applicability of the calibration method to building simulation, its …
Bayesian calibration as proposed by Kennedy and O’Hagan [22] has been increasingly applied to building energy models due to its ability to account for the discrepancy between observed values and model predictions. However, its application has been …