IEA Wind Task 36 -An Overview

Gregor Giebel (1) , Will Shaw (2) , Helmut Frank (3) , Caroline Draxl (4) , John Zack (5) , Pierre Pinson (6) , Corinna Möhrlen (7) , Georges Kariniotakis (8) , Ricardo Bessa (9)

1 DTU Wind Energy
2 PNNL - Pacific Northwest National Laboratory
3 DWD - Deutscher Wetterdienst [Offenbach]
4 NREL - National Renewable Energy Laboratory
5 UL Services Group LLC
6 DTU Electrical Engineering [Lyngby]
7 WEPROG Aps
8 PERSEE - Centre Procédés, Énergies Renouvelables, Systèmes Énergétiques
9 INESC TEC - Institute for Systems and Computer Engineering, Technology and Science [Porto]

Wind power forecasts have been operationally used for over 25 years. Despite this fact, there are still many possibilities to improve and enhance forecasts, both from the weather prediction side and in the use of the forecasts. Until now, most applications have focused on deterministic forecast methods. This is likely to change in the future as penetration levels increase and weather conditions become more unstable due to climate change. Probabilistic methods are therefore receiving more attention from users. The International Energy Agency (IEA) Wind Task 36 on Wind Power Forecasting organises international collaboration, among national weather centres with an interest and/or large projects on wind forecast improvements (NOAA, DWD, UK MetOffice, ...), forecast vendors and forecast users to facilitate scientific exchange to be prepared for future challenges.

Mots clés: wind power forecast; wind power prediction; IEA; forecast selection; probabilistic forecast; energy meteorology; power systems

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

Gregor Giebel, Will Shaw, Helmut Frank, Caroline Draxl, John Zack, et al.. IEA Wind Task 36 -An Overview. 19th Wind Integration Workshop 2020, Nov 2020, Virtual Event, Germany. ⟨hal-03036097⟩