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Journal article · Conference paper

Wind power forecasting: IEA Wind Task 36 & future research issues

From

Department of Wind Energy, Technical University of Denmark1

Mines Paris - PSL2

Vattenfall3

Weprog ApS4

Integration & Planning, Department of Wind Energy, Technical University of Denmark5

U.S. Department of Energy Wind and Water Power Program6

Deutscher Wetterdienst7

Pacific Northwest National Laboratory8

Department of Electrical Engineering, Technical University of Denmark9

Center for Electric Power and Energy, Centers, Technical University of Denmark10

Energy Analytics and Markets, Center for Electric Power and Energy, Centers, Technical University of Denmark11

National Renewable Energy Laboratory12

...and 2 more

This paper presents the new International Energy Agency Wind Task 36 on Forecasting, and invites to collaborate within the group. Wind power forecasts have been used operatively for over 20 years. Despite this fact, there are still several possibilities to improve the forecasts, both from the weather prediction side and from the usage of the forecasts.

The new International Energy Agency (IEA) Task on Forecasting for Wind Energy tries to organise international collaboration, among national meteorological centres with an interest and/or large projects on wind forecast improvements (NOAA, DWD, MetOffice, met.no, DMI,...), operational forecaster and forecast users.The Task is divided in three work packages: Firstly, a collaboration on the improvement of the scientific basis for the wind predictions themselves.

This includes numerical weather prediction model physics, but also widely distributed information on accessible datasets. Secondly, we will be aiming at an international pre-standard (an IEA Recommended Practice) on benchmarking and comparing wind power forecasts, including probabilistic forecasts. This WP will also organise benchmarks, in cooperation with the IEA Task WakeBench.

Thirdly, we will be engaging end users aiming at dissemination of the best practice in the usage of wind power predictions. As first results, an overview of current issues for research in short-term forecasting of wind power is presented.

Language: English
Publisher: IOP Publishing
Year: 2016
Pages: 032042
Proceedings: The Science of Making Torque from Wind 2016European Academy of Wind Energy : The Science of Making Torque from Wind
ISSN: 17426596 and 17426588
Types: Journal article and Conference paper
DOI: 10.1088/1742-6596/753/3/032042
ORCIDs: Giebel, Gregor and Pinson, Pierre

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