In recent years, the technological development in virtually every sector has often made it possible to consider real-world data – thanks to the ever-growing ease in collecting and storing these information – as an increasingly valuable resource to guide experts and decision-makers in a multitude of tasks. Among these, the analysis of energy consumption in large buildings is one of the areas of research that is subject to continuous innovation and refinements, as more and more data is made available through the installation of systems that ultimately aim at reducing inefficiencies by guiding the users towards a more “energetically responsible” behavior and by detecting potentially anomalous events during building operation.