• Short-term wind power prediction models in complex terrain based on statistical time series analysis 

      Fossem, Andreas Aarhuus (Master thesis; Mastergradsoppgave, 2019-12-13)
      One of the largest challenges with the utilization of wind as a renewable resource, is its natural variability and intermittent nature. To achieve a sustainable integration of wind power into the power grid, a precise and reliable prediction method is therefore required. In this study, several short-term wind power prediction models based on statistical time series analysis were developed and tested, ...