This task is done in collaboration with TrønderEnergi.
In 2020, TrønderEnergi will operate 202 wind turbines. State of the art ML algorithms give point predictions. They do not state how certain they are about the result. The task is to investigate machine learning methods that predict power production and provide an uncertainty estimation. A special focus will be given to evaluation.
Getting probability distributions from time-series forecasts