Towards a data-driven approach to ground-fault location

The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) is to develop a new method that combines Artificial Intelligence (AI) and Digital Twin (DT) technologies to locate or calculate the distance to a fault position in a power grid.