On January 28 and 29, the
École Polytechnique Fédérale de Lausanne (EPFL) represented the FEEdBACk
project at "Applied Machine Learning Days 2019", in Lausanne (Switzerland).
Marina Dorokhova presented a poster entitled "Supervised model for building occupancy prediction from electrical consumption data", which was developed in the framework of the FEEdBACk project.
This research used supervised machine learning techniques for classification in order to demonstrate the potential of occupancy prediction from electricity smart meter measurements.
In total, the event, which was organised by EPFL, project partner, featured four days of talks, tutorials and workshops on Machine Learning and Artificial Intelligence with top speakers from around the world.
On 06th and 08th November, FEEdBACk project was in Vienna (Austria) to participate in one of the most prestigious events in Europe in the energy sector: European Utility Week.
“Spend less on energy and more on yourself” was the motto of the “Energy Efficiency” roadshow, promoted by the EC.