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2023, 2023 31st Mediterranean Conference on Control and Automation (MED) Proceedings, Pages 500-506

Load Demand Prediction for Electric Vehicles Smart Charging through Consensus-based Federated Learning (04b Atto di convegno in volume)

Menegatti D., Pietrabissa A., Manfredi S., Giuseppi A.

Having access to a reliable and accurate prediction of the short-term power demand is a fundamental step for the widespread adoption of Electric Vehicles (EVs), as their charges may have a significant impact on the power system balancing. In this direction, we propose a short-term load demand predictor, based on distributed Long Short-Term Memory Networks, that employs consensus and fully-decentralized Federated Learning (FL) algorithms to seek cooperation among multiple points of charge without the requirement of sharing any user-related data.
ISBN: 979-8-3503-1543-1
Gruppo di ricerca: Networked Systems
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