Novel machine learning methods to enhance wind power probabilistic forecasting: SPinHy-NN framework proposal for European electricity markets

The increasing penetration of weather-dependent energy sources brings additional challenges to the operation of the power system. Wind power forecasting is a valuable resource for these power operators: a tool that aids the decision-making process and facilitates risk management. On the other hand, the progress of machine learning and their...