Simple tool developed to estimate the heating demand of entire neighborhoods

One of the research lines of the group of the EHU-University of the Basque Country is seeking solutions to generate districts or neighborhoods whose annual net energy consumption is close to zero. Using machine learning techniques, Dr. Milagros Álvarez has achieved greater accuracy in energy demand estimates and in the assessment of retrofitting strategies to reduce thermal consumption on the neighborhood level.