The accurate fault location detection and fault type identification methodology developed by UCY and EAC, based on temperature monitoring via PMU measurements, will be applied in the Cypriot lab environment.
It will be used on the digital twin model of the Cypriot electrical network for the training of Physics Informed Neural Networks (PINNs).
