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integrating local flexibility markets through distributed AI-based coordination, market mechanism design, and cloud-to-edge computing. It aims to develop scalable machine learning methods for coordinating grid
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integrating local flexibility markets through distributed AI-based coordination, market mechanism design, and cloud-to-edge computing. It aims to develop scalable machine learning methods for coordinating grid
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program at the University of Luxembourg•Work location: Belval (Luxembourg)•Deadline: 30th June 2025Project description INSPIRATIONAir pollution is continuing to rise. It harms human health, crops and
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