• Wind Power Prediction with Machine Learning Methods in Complex Terrain Areas 

      Sæther, Brynhild Bentsen (Master thesis; Mastergradsoppgave, 2021-06-29)
      The increasing amount of intermittant wind energy sources connected to the power grid present several challenges in balancing the power network. Accurate prediction of wind power production is identified as one of the most important measures for balancing the power network while maintaining a sustainable integration of wind power in the power grid. However, the volatile nature of wind makes wind ...