-
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
-
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
-
projects. Specifically, the candidate will work with the identification and quantification of the origins of plastic pollution in the Arctic and its distribution in marine ecosystems. The project will be
Enter an email to receive alerts for distributed-algorithm-"Meta"-"Meta" positions