SYSTEC


Machine learning based computational frameworks for distributed systems. Application in distributed production systems and to situational awareness and control of networked autonomous systems.

Design and development of extremely fast forecast systems as well as distributed multiple scenario-based stable anticipative distributed control systems for networks of Renewable energy systems, possibly integrated in the Electrical grid.


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