iBECOME paper published in MDPI Buildings Journal
Our paper “An Innovative Modelling Approach Based on Building Physics and Machine Learning for the Prediction of Indoor Thermal Comfort in an Office Building”, written by Giovanni Tardioli (IES), Ricardo Filho (IES), Pierre Bernaud (CEA) and Dimitrios Ntimos (IES) was published as an open access article in the special 10th anniversary edition of Buildings which …
iBECOME paper published in MDPI Buildings Journal Read More »