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Data privacy and monetization in the energy sector 2022
January 17 15:30 - 17:00
WEBINAR by INESC TEC
The operation of energy systems heavily relies on data, where most agents would benefit from also accommodating data (or more generally information) for other agents. There does not exist, however, a general framework that would allow incentivizing information sharing, with the general objective of improving energy system operation in a liberalized market environment.
This talk will present a cross-silo federated learning algorithm developed to handle private and confidential data from the energy sector and discuss its application to forecasting and control use cases in the Smart Grid domain.