• Probabilistic forecasts of wind power generation in regions with complex topography using deep learning methods: An Arctic case 

      Foldvik Eikeland, Odin; Hovem, Finn Dag; Olsen, Tom Eirik; Chiesa, Matteo; Bianchi, Filippo Maria (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-05-27)
      The energy market relies on forecasting capabilities of both demand and power generation that need to be kept in dynamic balance. Nowadays, contracts and auctions of renewable energy in a liberalized electricity market heavily rely on forecasting future power generation. The highly intermittent nature of renewable energy sources increases the uncertainty about future power generation. Since point ...