SOURCE-LINKED INTELLIGENCE

SIGnal-based control for Resilient, Energy-Efficient, Net-zero systems

CORDIS · observation · Publication date unknown

EEN (SIGnal-based control for Resilient, Energy-Efficient, Net-zero systems) tackles this challenge by developing a new signal-based control framework that leverages advanced mathematics, statistics, machine learning, and large datasets, with further exploitation guidance from the UK-based company Sunsynk. The project has three goals: (1) to create new mathematical tools for describing systems under uncertainty, (2) to design stochastic control methods for efficiency and resilience under rare and multi-time-scale disturbances, and (3) to exploit these methods to improve efficiency and resilience of distributed energy networks with validations in simulations and Controller Hardware-In-the-Loop (C-HIL) experiments that mimic real-world conditions. Results will be shared through leading scientific conferences, workshops, international research visits, and industry-facing events such as Enlit Europe 2027. The project will deliver new algorithms, datasets, and experimental demonstrations that advance clean energy research and support Europe’s climate and energy goals. For the researcher

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recordType

award

status

SIGNED

region

EU

value

276187.92

unit

EUR