In this work we investigate the thermal energy demand (TED) in urban areas through a copula-based approach. The proposed method enables the characterization of the probability law of TED under extreme weather conditions and for specific groups of buildings. In particular, we show how building characteristics, such as energy class and heating surface, may worsen or mitigate the impact of extreme scenarios.
