Task 2.4 Test Cases

Set-up and dissemination of benchmark test cases and data sets.

  • Aim: Set-up and dissemination of benchmarks.

  • Partners: DTU Elektro, DTU Wind Energy, EDF, INESC TEC, Smartwatt, Prewind, PNNL.

Name Type of data Area Period Temporal resolution
RE-Europe Simulated aggregated generation and +1 to +91 hour forecasts for 1494 European regions based on ECMWF and COSMO analysis and ECMWF forecast data Europe 2012-2014 1 hour
NREL WIND Toolkit Simulated generation and 1, 4, 6, and 24-hour wind and power forecasts for 126000 US sites based on WRF US 2007-2013 5 min
NREL Western and Eastern Wind Integration data sets Simulated generation for 1326 (Eastern) + 32043 (Western) US sites based on MASS and WRF. For Eastern data set also 4 hour, 6 hour and day ahead forecasts US 2004-2006 10 min
GEFCom 2012 Observed generation and +1 to +48 hour ECMWF wind forecasts for 7 wind farms unknown 2009-2012 1 hour
GEFCom 2014 Observed generation and +1 to +48 hour ECMWF wind forecasts for 7 wind farms unknown 2009-2012 1 hour
AEMO Generation data from various Australian wind farms Australia 2005- 5 min
La Haute Borne wind farm data Many SCADA data from the 4 turbines of the La Haute Borne wind farm, ENGIE’s first open data wind farm.  Southwest of Nancy, France  2009-  10 min

 

Additional information:

RE-Europe:
Full data set can be downloaded as zip-file. Generation signals and forecasts and meta data on location and aggregation are stored in csv-files. Additional to wind power data the data set includes solar generation and power load data. More information can be found on https://zenodo.org/record/35177#.WqmNAzclFmB. Data policy: Creative Commons Attribution-NonCommercial 4.0.

NREL WIND Toolkit:
Information and download links can be found on https://www.nrel.gov/grid/wind-integration-data.html. Data can be downloaded via the NREL Wind Prospector (https://maps.nrel.gov/wind-prospector). Select the required data layer, then go to Analysis & Downloads, choose either Wind Resource Data Download (Point) or Wind Resource Data Download (Box) and select points on the map for which you want data. A configuration window will pop up where you have to supply your contact data and can select the data sources. After your query has been processed you will get an email with a download link. Forecast data can only be accessed through a special request.

NREL Western and Eastern Wind Integration data sets:
see NREL WIND Toolkit

GEFCom 2012:
The full data set can be downloaded as supplementary data of the paper http://www.sciencedirect.com/science/article/pii/S0169207013000745. Wind power measurements are found in windpowermeasurements.csv and forecasts for the different wind farms are stored in separate files windforecasts_wf*.csv. Further information can also be found on https://www.kaggle.com/c/GEF2012-wind-forecasting.

GEFCom 2014:
The full data set can be downloaded as zip file from https://www.dropbox.com/s/pqenrr2mcvl0hk9/GEFCom2014.zip?dl=0. Wind power data can be found in GEFCom2014-W_V2.zip Task 15/. Task 1 - Task 14 are just subsets of Task 15. More information can be found on http://www.drhongtao.com/gefcom/2014 or http://blog.drhongtao.com/2016/07/datasets-for-energy-forecasting.html and the links there.

AEMO:
The Australian Energy Market Operator (AEMO) provides generation data from a number of generation units. Wind power data can be found on https://www.aemo.com.au/Electricity/National-Electricity-Market-NEM/Data/Market-Management-System-MMS/Generation-and-Load in both, the Actual Generation and Non-Scheduled Generation data sets. Information on wind farm location and capacity can e.g., be found on https://benjaminjweise.carto.com/tables/aemo_wind_plants/public. An already prepared data set for 2012-2013 is available at https://pure.strath.ac.uk/portal/en/datasets/australian-electricity-market-operator-aemo-5-minute-wind-power-data(9e1d9b96-baa7-4f05-93bd-99c5ae50b141).html. Data policy: https://www.aemo.com.au/Privacy_and_Legal_Notices/Copyright_Permissions_Notice

Status: Wed May 10 11:24:11 2017, Jakob W. Messner, DTU.

Co-lead

Pierre Pinson
Professor
DTU Electrical Engineering
+45 45 25 35 41
http://www.ieawindforecasting.dk/topics/workpackage-2/task-2-4
16 DECEMBER 2018