Due to its impact on global energy consumption, it is fundamental to take action in order to reduce the building sector’s energy use, which means achieving energy-efficient structures. Reaching this goal involves implementing advanced energy management and control strategies, which adeptly handle internal loads uncertainties and external disturbances. Consequently, it is crucial to develop a proper building model. White-box models strongly rely on the system’s physics, leading to an interpretable and generalizable solution. They require detailed knowledge and expertise and significant computational resources during execution. Black-box models, on the other hand, only count on historical data, therefore they are limited to their training dataset, lacking in interpretability.