Graph Neural Networks – PhD

AI & Data Science

Charlotte Cambier van Nooten has started in the collaborative PhD position between Alliander and the Radboud University. This PhD position is part of the AI for Energy Grids lab, one of the national ICAI labs.

Her focus in on the Alliander use case of redirecting power in situation concerning maintenance and outage of the energy grid by using graph neural networks. As redirecting electricity means amplifying the energy flow through the network.

Results of this research will contribute to reduce calculation times whereby emergy fixes can be made more quickly. Additionally, the results will keep the grid reliable while making better use of the capacity.


Alliander, TUDelft, UTwente and HAN.