Articles | Volume 13, issue 5
https://doi.org/10.5194/essd-13-2259-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-13-2259-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
26 May 2021
Data description paper |
| 26 May 2021
| 26 May 2021
Sub-seasonal forecasts of demand and wind power and solar power generation for 28 European countries
Hannah C. Bloomfield
CORRESPONDING AUTHOR
University of Reading, Reading, UK
David J. Brayshaw
University of Reading, Reading, UK
National Centre for Atmospheric Science, Reading, UK
Paula L. M. Gonzalez
University of Reading, Reading, UK
National Centre for Atmospheric Science, Reading, UK
International Research Institute for Climate and Society, The Earth Institute, Columbia University, Palisades, New York, USA
Andrew Charlton-Perez
University of Reading, Reading, UK
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23 citations as recorded by crossref.
- Evaluation of subseasonal to seasonal forecasts over India for renewable energy applications A. Das & S. Baidya Roy 10.5194/adgeo-56-89-2021
- Self-operation and low-carbon scheduling optimization of solar thermal power plants with thermal storage systems J. Sun 10.1186/s42162-024-00332-4
- Assessing the probability of extremely low wind energy production in Europe at sub-seasonal to seasonal time scales B. Cozian et al. 10.1088/1748-9326/ad35d9
- Advancing global solar photovoltaic power forecasting with sub-seasonal climate outlooks J. Choi et al. 10.1016/j.renene.2024.121803
- Validation of the medium-range and sub-seasonal forecast of solar irradiance and wind speed using ECMWF V. Chinta et al. 10.1016/j.egyr.2023.10.058
- Pattern‐based conditioning enhances sub‐seasonal prediction skill of European national energy variables H. Bloomfield et al. 10.1002/met.2018
- Decadal Variability of the Extratropical Response to the Madden–Julian Oscillation D. Skinner et al. 10.1029/2023GL104576
- A probabilistic view on modelling weather regimes A. Baldo & R. Locatelli 10.1002/joc.7942
- Incorporating Spatial and Temporal Correlations to Improve Aggregation of Decentralized Day-Ahead Wind Power Forecasts N. Mararakanye et al. 10.1109/ACCESS.2022.3219602
- The application of sub‐seasonal to seasonal (S2S) predictions for hydropower forecasting R. Graham et al. 10.1002/met.2047
- Revealing the Statistics of Extreme Events Hidden in Short Weather Forecast Data J. Finkel et al. 10.1029/2023AV000881
- Skillful prediction of UK seasonal energy consumption based on surface climate information S. Li et al. 10.1088/1748-9326/acd072
- Overcoming the disconnect between energy system and climate modeling M. Craig et al. 10.1016/j.joule.2022.05.010
- The establishment of Boron nitride@sodium alginate foam/polyethyleneglycol composite phase change materials with high thermal conductivity, shape stability, and reusability J. Zhou et al. 10.1016/j.cjche.2022.04.001
- Predicting rare events using neural networks and short-trajectory data J. Strahan et al. 10.1016/j.jcp.2023.112152
- Subseasonal-to-Seasonal Forecasting for Wind Turbine Maintenance Scheduling R. Tawn et al. 10.3390/wind2020015
- Predictive Skill of Teleconnection Patterns in Twentieth Century Seasonal Hindcasts and Their Relationship to Extreme Winter Temperatures in Europe N. Schuhen et al. 10.1029/2020GL092360
- Climate variability on Fit for 55 European power systems M. De Felice et al. 10.1371/journal.pone.0289705
- The impact of North American winter weather regimes on electricity load in the central United States O. Millin et al. 10.1038/s41612-024-00803-1
- The role of repowering India’s ageing wind farms in achieving net-zero ambitions J. Norman et al. 10.1088/1748-9326/ad28db
- Analysis of seasonal variability and complementarity of wind and solar resources in Mexico R. Magaña-González et al. 10.1016/j.seta.2023.103456
- Hourly historical and near-future weather and climate variables for energy system modelling H. Bloomfield et al. 10.5194/essd-14-2749-2022
- Sub-seasonal forecasts of demand and wind power and solar power generation for 28 European countries H. Bloomfield et al. 10.5194/essd-13-2259-2021
21 citations as recorded by crossref.
- Evaluation of subseasonal to seasonal forecasts over India for renewable energy applications A. Das & S. Baidya Roy 10.5194/adgeo-56-89-2021
- Self-operation and low-carbon scheduling optimization of solar thermal power plants with thermal storage systems J. Sun 10.1186/s42162-024-00332-4
- Assessing the probability of extremely low wind energy production in Europe at sub-seasonal to seasonal time scales B. Cozian et al. 10.1088/1748-9326/ad35d9
- Advancing global solar photovoltaic power forecasting with sub-seasonal climate outlooks J. Choi et al. 10.1016/j.renene.2024.121803
- Validation of the medium-range and sub-seasonal forecast of solar irradiance and wind speed using ECMWF V. Chinta et al. 10.1016/j.egyr.2023.10.058
- Pattern‐based conditioning enhances sub‐seasonal prediction skill of European national energy variables H. Bloomfield et al. 10.1002/met.2018
- Decadal Variability of the Extratropical Response to the Madden–Julian Oscillation D. Skinner et al. 10.1029/2023GL104576
- A probabilistic view on modelling weather regimes A. Baldo & R. Locatelli 10.1002/joc.7942
- Incorporating Spatial and Temporal Correlations to Improve Aggregation of Decentralized Day-Ahead Wind Power Forecasts N. Mararakanye et al. 10.1109/ACCESS.2022.3219602
- The application of sub‐seasonal to seasonal (S2S) predictions for hydropower forecasting R. Graham et al. 10.1002/met.2047
- Revealing the Statistics of Extreme Events Hidden in Short Weather Forecast Data J. Finkel et al. 10.1029/2023AV000881
- Skillful prediction of UK seasonal energy consumption based on surface climate information S. Li et al. 10.1088/1748-9326/acd072
- Overcoming the disconnect between energy system and climate modeling M. Craig et al. 10.1016/j.joule.2022.05.010
- The establishment of Boron nitride@sodium alginate foam/polyethyleneglycol composite phase change materials with high thermal conductivity, shape stability, and reusability J. Zhou et al. 10.1016/j.cjche.2022.04.001
- Predicting rare events using neural networks and short-trajectory data J. Strahan et al. 10.1016/j.jcp.2023.112152
- Subseasonal-to-Seasonal Forecasting for Wind Turbine Maintenance Scheduling R. Tawn et al. 10.3390/wind2020015
- Predictive Skill of Teleconnection Patterns in Twentieth Century Seasonal Hindcasts and Their Relationship to Extreme Winter Temperatures in Europe N. Schuhen et al. 10.1029/2020GL092360
- Climate variability on Fit for 55 European power systems M. De Felice et al. 10.1371/journal.pone.0289705
- The impact of North American winter weather regimes on electricity load in the central United States O. Millin et al. 10.1038/s41612-024-00803-1
- The role of repowering India’s ageing wind farms in achieving net-zero ambitions J. Norman et al. 10.1088/1748-9326/ad28db
- Analysis of seasonal variability and complementarity of wind and solar resources in Mexico R. Magaña-González et al. 10.1016/j.seta.2023.103456
2 citations as recorded by crossref.
Latest update: 20 Nov 2024
Short summary
Energy systems are becoming more exposed to weather as more renewable generation is built. This means access to high-quality weather forecasts is becoming more important. This paper showcases past forecasts of electricity demand and wind power and solar power generation across 28 European countries. The timescale of interest is from 5 d out to 1 month ahead. This paper highlights the recent improvements in forecast skill and hopes to promote collaboration in the energy–meteorology community.
Energy systems are becoming more exposed to weather as more renewable generation is built. This...
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