Abstract. Due to the high impact that energy consumption by buildings has at global scale, energy-efficient buildings to reduce \\(\\mathrm{CO}_2\\) emissions and energy consumption are needed. In this work we present a novel approach to energy saving in buildings through the identification of the relevant parameters and the application of Soft Computing techniques to generate predictive models