Publication
Preliminary results show that machine learning can predict faults and disturbances in the power system
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1754055
European and global power grids are moving towards a Smart Grid architecture. Supporting this, advanced measurement equipment such as PQAs and PMUs are being deployed. These generate vast amounts of data upon which machine learning models capable of forecasting incipient faults can be built. We use ...