Blar i SINTEF Energi på emneord "Machine learning"

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    • 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. ...

    • A tree based classifier for transient stability prediction following island splitting 

      Kiel, Erlend Sandø; Jakobsen, Sigurd Hofsmo; Haugen, Eirik; Lundemo, Sondre Duna; Riemer-Sørensen, Signe; Remonato, Filippo (Chapter, 2022)
      An unexpected failure or outage of one or multiple system components can cause a new operational situation that requires remedial actions. An important remedial action to model correctly is islanding. Finding the transient ...