Sub-seasonal forecasts of demand and wind power and solar power generation for 28 European countries

• Published in: Earth system science data Vol. 13; no. 5; pp. 2259 - 2274
• Main Authors: Bloomfield, Hannah C., Brayshaw, David J., Gonzalez, Paula L. M., Charlton-Perez, Andrew
• Format: Journal Article
• Language: English
• Published: Katlenburg-Lindau Copernicus GmbH 26.05.2021; Copernicus Publications
• Subjects: Analysis; Atmospheric models; Bias; Daily; Daily weather; Decision making; Electric power demand; Electric power systems; Electricity; Energy; Energy industry; Energy trading; Green technology; Meteorological data; Meteorological research; Nuclear power plants; Radiation; Risk management; Seasonal forecasting; Seasons; Solar energy; Solar power; Solar power generation; Uptake; Weather; Weather forecasting; Weekly; Wind power; Wind power generation

Electricity systems are becoming increasingly exposed to weather. The need for high-quality meteorological forecasts for managing risk across all timescales has therefore never been greater. This paper seeks to extend the uptake of meteorological data in the power systems modelling community to incl...