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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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: · Developing mathematical optimization approach and tool for optimal operation of smart low voltage grids with high penetration of distributed energy resources · Producing quality research outputs (e.g
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researcher with a passion for developing new computational tools and contributing to cutting-edge research at the intersection of Physics and Earth system science. Background and relevance of the project
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defining transport equity, as the choice of distributive principle significantly influences its measurement and outcomes. Therefore, it is still challenging for policymakers to practically evaluate and
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societal needs for sustainable ecosystem management. Within the recently funded project BIOINDIC-IA (funded by the FNR under the ANR programme), you will be mainly in charge of: · Data assembly and