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

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 forecast does not account for such uncertainties, it is necessary to rely on probabilistic forecasts.