skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

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

Journal Article · · Journal of Physics. Conference Series
 [1];  [2];  [3];  [4];  [5];  [6];  [7];  [8];  [9]
  1. Technical Univ. of Denmark, Roskilde (Denmark). DTU National Lab. for Sustainable Energy
  2. U.S. Dept. of Energy, Washington, DC (United States). Wind and Water Power Program
  3. Deutscher Wetterdienst, Offenbach (Germany)
  4. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  5. Technical Univ. of Denmark, Lyngby (Denmark). Elektro
  6. National Renewable Energy Lab. (NREL), Golden, CO (United States)
  7. MINES ParisTech and PSL Research Univ., Paris (France)
  8. Vattenfall AB, Kolding (Denmark)
  9. WEPROG Aps, Assens (Denmark)

Here, 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.

Research Organization:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
Grant/Contract Number:
AC36-08GO28308
OSTI ID:
1335576
Report Number(s):
NREL/JA-5D00-67542
Journal Information:
Journal of Physics. Conference Series, Vol. 753; ISSN 1742-6588
Publisher:
IOP PublishingCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 7 works
Citation information provided by
Web of Science