Wind power forecasting is essential to power system operation and electricity markets. As
abundant data became available thanks to the deployment of measurement infrastructures
and the democratization of meteorological modeling, extensive data-driven approaches
have been developed within both point and probabilistic forecasting frameworks. These
models usually assume that the dataset at hand is complete and overlook missing value
issues that often occur in practice. In contrast to that common approach, we here rigorously …