Rising energy prices, as well as regulations related to the energy efficiency of buildings, make the issue of energy consumption for heating and hot water preparation analysis a subject of interest for building managers and the scientific community. Furthermore, progressive climate change, with increasingly warmer winters and hotter summers, requires the implementation of deeper analyses of energy intake in relation to the changing meteorological situation. This article presents the modelling results of the energy consumption for heating and hot water preparation, conducted in cooperation with one of Wroclaw’s housing cooperatives. It was shown that with the use of a simple structure of regression decision trees, it is possible to create a model of the heat consumption for multifamily housing, while learning the rules of the impact of weather conditions on this aspect. The determination coefficients R2 of the models oscillated, depending on the building, in the range of 0.93 to 0.96.