With the objective of more sustainable and efficient energy use in residential buildings, a new study from Eurac Research and University of Bergamo, published on the Journal of Building Engineering, shows how Artificial Neural Networks can make more accurate thermal load predictions.

One of the key features of the model is the adaptivity, as it can be trained and updated with new data, and therefore the results get more accurate with each update.