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

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...

Full description

Saved in:
Bibliographic Details
Published inEarth 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
LanguageEnglish
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
Renewable energy
Risk management
Seasonal forecasting
Seasons
Solar energy
Solar power
Solar power generation
Uptake
Weather
Weather forecasting
Weekly
Wind power
Wind power generation
Online AccessGet full text

Cover

More Information
Summary: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 include probabilistic meteorological forecasts at sub-seasonal lead times. Such forecasts are growing in skill and are receiving considerable attention in power system risk management and energy trading. Despite this interest, these forecasts are rarely evaluated in power system terms, and technical barriers frequently prohibit use by non-meteorological specialists.
ISSN:1866-3516
1866-3508
1866-3516
DOI:10.5194/essd-13-2259-2021