Data Science for Next Generation Renewable Energy Forecasting - Highlight Results from the Smart4RES Project

Georges Kariniotakis (1) , Simon Camal (1) , Fabrizio Sossan (1) , Bijan Nouri (2) , Jorge Lezaca (2) , Matthias Lange (3) , Bastien Alonzo (4) , Quentin Libois (4) , Pierre Pinson (5) , Carla Goncalves (6) , Ricardo Bessa (6)

1 PERSEE - Centre Procédés, Énergies Renouvelables, Systèmes Énergétiques
2 DLR - Deutsches Zentrum für Luft- und Raumfahrt
3 EMSYS - Energy & Meteo Systems - energy
4 DIRSE - Météo-France Direction Interrégionale Sud-Est
5 DTU - Danmarks Tekniske Universitet = Technical University of Denmark
6 INESC TEC - Institute for Systems and Computer Engineering, Technology and Science [Porto]

Smart4RES is a European Horizon2020 project developing next generation solutions for renewable energy forecasting. This paper presents highlight results obtained during the first year of the project. Data science is used throughout the proposed solutions in order to process the large amount of heterogeneous data available to forecasters, and derive model-free approaches of forecasting and decision-aid tasks. This paper presents a series of solutions addressing relevant for Photovoltaics (PV) and storage applications. High-resolution Numerical Weather Predictions and regional solar irradiance forecasting provide detailed information on local weather conditions and their variability. PV power forecasting benefits from such new data sources, but also the proposed collaborative data exchange. Finally, data-driven methods simplify decision-making for trading in short-term markets and for grid management.

Mots clés: Renewable energy; Forecasting; High resolution; Data Market; Optimization; Grid management; Smart Grid; Data science

Domaines: Energie électrique; Optimisation et contrôle [math.OC]; Probabilités [math.PR]; Statistiques [math.ST]; Applications [stat.AP]; Machine Learning [stat.ML]

Georges Kariniotakis, Simon Camal, Fabrizio Sossan, Bijan Nouri, Jorge Lezaca, et al.. Data Science for Next Generation Renewable Energy Forecasting - Highlight Results from the Smart4RES Project. 11th International Workshop on Integration of Solar Power into Power Systems, EnergyNautics GmbH, Sep 2021, Berlin, Germany. ⟨10.1049/icp.2021.2499⟩. ⟨hal-03623923⟩