• Impact of the Temporal Distribution of Faults on Prediction of Voltage Anomalies in the Power Grid 

      Tyvold, Torfinn Skarvatun; Torsæter, Bendik Nybakk; Andresen, Christian Andre; Hoffmann, Volker (Chapter, 2020)
      Is it possible to reliably predict voltage anomalies in the power grid minutes in advance using machine learning models trained on large quantities of historical data collected by power quality analysers (PQA)? Very little ...
    • Incipient Fault Prediction in Power Quality Monitoring 

      Hoffmann, Volker; Michalowska, Katarzyna; Andresen, Christian Andre; Torsæter, Bendik Nybakk (Journal article; Peer reviewed, 2019)
      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 ...
    • Lessons for Data-Driven Modelling from Harmonics in the Norwegian Grid 

      Hoffmann, Volker; Torsæter, Bendik Nybakk; Rosenlund, Gjert Hovland; Andresen, Christian Andre (Peer reviewed; Journal article, 2022)
      With the advancing integration of fluctuating renewables, a more dynamic demand-side, and a grid running closer to its operational limits, future power system operators require new tools to anticipate unwanted events. ...