Enhancing Renewable Energy Forecasting: A Comprehensive Evaluation of Weather Forecast Models and Post-Processing Methods for Belgium
Meng, Ruoke, Poecke, Aaron Van, Smet, Geert, Demaeyer, Jonathan, Tabari, Hossein, Hellinckx, Peter, Van den Bergh, Joris and Termonia, Piet ed. Enhancing Renewable Energy Forecasting: A Comprehensive Evaluation of Weather Forecast Models and Post-Processing Methods for Belgium 14-19 April Vienna Austria. Göttingen: Copernicus Meetings, 2024.
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http://dx.doi.org/https://doi.org/10.5194/egusphere-egu24-16157 Full text from publisher -
Sub-type Conference proceedings Author Meng, Ruoke
Poecke, Aaron Van
Smet, Geert
Demaeyer, Jonathan
Tabari, Hossein
Hellinckx, Peter
Van den Bergh, Joris
Termonia, PietEvent series EGU General Assembly Title of Event Enhancing Renewable Energy Forecasting: A Comprehensive Evaluation of Weather Forecast Models and Post-Processing Methods for Belgium Date of Event 14-19 April Place of Event Vienna Austria Organizer The European Geosciences Union Publication Date 2024-03-07 Place of Publication Göttingen Publisher Copernicus Meetings Pages egu24-16157 Language eng Abstract As renewable energy sources continue to account for an increasing proportion of Belgium's energy production, decision making in renewable energy production increasingly relies on accurate numerical weather prediction forecasts. For general applications, forecast validation often focuses on direct comparisons to observations for the whole domains of interest, while in this study we assess model performance specifically related to renewable energy productions. We perform extended verification of relevant variables (wind speed, temperature, solar radiation, etc.) from multiple high-resolution deterministic and ensemble weather forecast models operated in Belgium for the period of May 2021-June 2023. The forecasts are verified with observational datasets collected from on-and offshore weather stations, masts, lidars, and wind farm observations to comprehensively understand the capabilities of the models … Copyright Holder author(s) Copyright Year 2024 Copyright type Creative commons DOI https://doi.org/10.5194/egusphere-egu24-16157 -
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