ATLAS AEI I+D

Description of the project

ATLAS focuses on the applications of deep learning in the distribution and consumption domains and in particular its orientation towards the improvement of operation procedures (including the estimation of network congestions and voltage deviations, estimation of flexibility) . available, non-technical loss detection) and long-term network planning procedures (which requires estimating future generation, demand and flexibility to minimize investment costs in network expansion). The models will be developed using federated learning techniques that ensure data security and privacy. 

Budget and financing

Import: 152.460 €
Financing: Ministry of Science, Innovation and Universities, Co-financed by the European Union, State Research Agency.