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.
The National Energy Day was celebrated in Portugal on May 29, 2019. To mark the date, INESC TEC was associated with the Energy Days to organise the Energy Systems of the Future.
On May 21, users from the Lippe demonstrator and others interested in energy efficiency issues were received at the premises of the FEEdBACk partner Kreis Lippe - Zukunftsbüro.