OpenWindSCADA

November 24, 2025 · View on GitHub

For questions and feedback, plese reach out to: simon.leszek@tu-berlin.de

Table of open source wind turbine SCADA data sets:

IDDataset.jpynbLocMet-
mast
Trb
#
Var
#
Logs
✓/✗
Labels
✓/✗
ΔT∑TRefRemarks/License
:-1:1EDP Open DatahereESP (on)5~80110m2y-:warning: Currently unavailable; T09 removed from dataset
2Winji Gearbox Challenge??5~20210m3y-register & consent from WinJi
:star:3Kelmarsh FarmhereUK (on)6~9910m35y-farm info
:star:4Penmanshiel FarmUK (on)14>15010m35y-farm info
5Ørsted Anholt OffshoreDEN (off)(✓)4111???10m2y-application/NDA; farm info
6Ørsted Westermost RoughUK (off)(✓)435???10m2y-application/NDA; farm info
7a"CAREtoCompare" Windfarm BGER (off)?964?10m2y-normalized for anonymization
7b"CAREtoCompare" Windfarm CGER (off)?22238?10m2y-normalized for anonymization
8Fuhrländer Farm? (on)53125m3y[2]Eclipse Public License v2.0
9aDSforWind Windfarm 1a? (on)64710m1y--
9bDSforWind Windfarm1b? (off)62710m1y--
9cDSforWind Windfarm 2a? (on)62710m1y--
9dDSforWind Windfarm 2b? (off)62710m1y--
10PCWG Data Sets? (on)3110m1y--
11Norrekaer WindfarmDK (on)41310m1.5y[3]farm info
11Delabole WindfarmUK (on)10110m1y[4]farm info
12Dundalk IoTIRE (on)120710m14y-urban terrain
13Kaggle Wind TurbineTUR (on)1410m1y--
14Small São PauloBRZ (on)1~401m5y-small, urban turbine
15Björkö Wind TurbineSWE (on)1681s1y-small; turbine info
16IET-OST TurbineSUI (on)1151s1.5y-small; turbine info
17Pedra do Sal Wind FarmBRZ (on)20~4010m1y-farm info
18Beberibe Wind FarmBRZ (on)32~4010m1y-farm info
19SMARTEOLE Wind FarmFRA (on)7~401m4m[5]wake steering; farm info
20Loegtved VestasV100DK (on)1310m4y-contact for more data
:new::exclamation:21Hill of Towie Wind Farm Open DatasetSCT (on)2165510m8.7y-CC-BY-4.0; AeroUp/TuneUp upgrade info included, data loader here
:-1:98Engie La Haute BorneFR (on)4~8010m8y-offline; farm info
:-1:99Levenmouth TurbineUK (near)1>50010m/1s3y-not for free (~2000 £)
  • ✗ = no / ✓ = yes
  • :-1: = no longer available
  • :star: = comprehensive dataset
  • :new::exclamation: = latest addition
  • bold = best in class
1 Manual annotations of major failures or component replacements
2 SCADA error log indicator
3 Statistics from wave buoy and ground-based LIDAR data.
4 Higher resolution on request
5 Environmental measures (except wind speed & TI) come from metmast
6 Ground-based LIDAR
7 Gearbox replacement in 2018-2019

Notebooks - Data Loaders and Overview Plots:

The jupyter notebooks in the 'notebooks' folder contain a data loader for SCADA signals, logs, annotations as well as community annotations (see next sections). Table 1 indicates whether the respective dataset has already been added. Furthermore, they produce an overview over each dataset such as shown in the following image:

image

Also, for each turbine, there is an 'Overview Cockpit' with a power curve plot, a wind rose and the data avilability over time. An example is shown here:

image

Lastly, operator annotations are listed, if they are part of the dataset. See e.g. for T01 of the edp data set:

image

To run the notebooks yourself, please add the respective .csv-files to the data folder.

Comunity Annotations:

We want to enable researchers to build upon the findings of others who were previously working with the dataset. For every dataset, we have set up a community-annotation folder, containing simple CSV's to collect data quality or malfunction related observations. They contain the following columns:

  • annot_id: unique annotation identifies (running ascending number)
  • turbine_id: which turbine of the respective dataset is affected?
  • signal: which signal exhibits the respective observation?
  • time_start / time_stop: during which time is the observation present?
  • related_log_message (optional): is there a SCADA log message that coincides with the observation?
  • remarks: describe your observation in a few words.

The respective notebooks automatically load, read and display the respective malfuncitons. See e.g. this example from T01 of the edp-dataset:

image

How to contribute:

We welcome contributions to expand the collection of open datasets in this repository as well as community annotations for the datasets. Feel free to create respective PRs :).

Other Resources:

References:

Many of the above listed datasets are described and analysed in [1].

[1]
[Effenberger, Nina, and Nicole Ludwig. "A collection and categorization of open‐source wind and wind power datasets." Wind Energy 25.10 (2022): 1659-1683.](https://onlinelibrary.wiley.com/doi/full/10.1002/we.2766)
[2]
[Marti-Puig, P., Blanco-M., A., Cusidó, J. et al. Wind turbine database for intelligent operation and maintenance strategies. Sci Data 11, 255 (2024).](https://www.nature.com/articles/s41597-024-03067-9)
[3]
[Hansen, Kurt Schaldemose; Vasiljevic, Nikola; Sørensen, Steen Arne (2022). SCADA data from Norre_m2 wind farm. Technical University of Denmark. Dataset.] (https://doi.org/10.11583/DTU.19076756.v1)
[4]
[Hansen, Kurt Schaldemose (2021). Scada data from Delabole wind farm. Technical University of Denmark. Dataset.] (https://doi.org/10.11583/DTU.14077004)
[5]
[Simley, E., Fleming, P., Girard, N., Alloin, L., Godefroy, E., and Duc, T.: Results from a wake-steering experiment at a commercial wind plant: investigating the wind speed dependence of wake-steering performance, Wind Energ. Sci., 6, 1427–1453, 2021.](https://doi.org/10.5194/wes-6-1427-2021)

Usage

Stargazers over time