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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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) to assess the temporal and spatial distribution and identify hotspots of O3/CH4 pollution in forested areas across Luxembourg, (c) to create a geospatial database of O3/CH4, crops, and (dead) forest trees by
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