Shallow geothermal energy is a sustainable alternative to provide heating or cooling to buildings. The objective of this research is to improve the design of shallow geothermal systems and predict the uncertainty of their energy efficiency using a new stochastic framework called Bayesian evidential learning (BEL). The method will be validated on two in-use aquifer thermal energy storage systems.