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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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DTU Tenure Track Researcher in X-Ray Nano-Computed Tomography for Dynamic Processes in Geological...
), on the development of in-situ nano-computed tomography (nano-CT). The expected start date is May 2025, and the position will be hosted within the 3D Imaging Center ( 3DIM ). The position aims to develop