Data-driven statiscal and machine learning modelling of real building stock energy use

Matthias Van Hove, Jelle Laverge, Arnold Janssens & Marc Delghust
One of today’s major challenges is to become climate neutral by 2050. Large potential for energy reduction is found in the building sector (which accounts for 40% of Europe’s total primary energy use). To compare energy reduction strategies, Building-Stock Energy Models are vital instruments. Yet, the regulatory energy performance calculation (which is currently used by EU policy makers) poorly predicts the real building energy use in residential buildings and largely overestimates the potential energy savings....
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