Wind Power SCADA Dataset

This repository contains wind turbine SCADA (Supervisory Control and Data Acquisition) datasets from two distinct wind farms for wind power analysis and forecasting research.

Dataset Overview

Dataset	Source	Location	Time Period	Interval	Records
La Haute Borne	ENGIE Open Data	Meuse, France	2017 onwards	10 min	~8,900+
Turkey Wind Turbine	Kaggle (B. Erisen)	Turkey	2018	10 min	~50,500+

Data Sources

1. France Dataset - La Haute Borne Wind Farm

Source: ENGIE Group Open Data Portal
URL: https://opendata-renewables.engie.com/explore/?sort=modified
License: Open License 2.0 (Etalab)

La Haute Borne is an operational wind farm located in the Meuse department of France, operated by ENGIE Group. This dataset provides comprehensive SCADA measurements including detailed turbine operational parameters.

2. Turkey Dataset - Wind Turbine SCADA

Source: Kaggle - Wind Turbine SCADA Dataset by Berker Isen
URL: https://www.kaggle.com/berkerisen/wind-turbine-scada-dataset

This dataset contains real operational data from a wind turbine in Turkey, widely used for wind power prediction and early fault detection research.

File Descriptions

final_la_haute_R0711.csv

Comprehensive SCADA data from turbine R80711 at La Haute Borne wind farm with 138 features.

Key Features

Abbreviation	Description	Unit
Wind_turbine_name	Turbine identifier	-
Date_time	Timestamp (10-min intervals)	-
P_avg/min/max/std	Active Power	kW
Q_avg/min/max/std	Reactive Power	kVar
S_avg/min/max/std	Apparent Power	kVA
Ws1_avg, Ws2_avg, Ws_avg	Wind Speed (multiple sensors)	m/s
Wa_avg/min/max/std	Wind Direction (Angle)	°
Ba_avg/min/max/std	Blade Pitch Angle	°
Rt_avg/min/max/std	Rotor Speed	RPM
Ya_avg/min/max/std	Yaw Angle	°
Ot_avg/min/max/std	Outside Temperature	°C
DCs_avg/min/max/std	DC Bus Voltage	V
Cm_avg/min/max/std	Converter Module	-
Cosphi_avg/min/max/std	Power Factor	-
Nf_avg/min/max/std	Grid Frequency	Hz

Temperature Sensors

Abbreviation	Description
Db1t, Db2t	Drive Bearing Temperatures
Dst	Drive Shaft Temperature
Gb1t, Gb2t	Gearbox Bearing Temperatures
Git	Generator Inlet Temperature
Gost	Generator Output Stator Temperature
Yt	Yaw Temperature
Rbt	Rotor Bearing Temperature
Rm	Rotor Motor Temperature

Note: Each measurement includes statistical aggregations: _avg (average), _min (minimum), _max (maximum), _std (standard deviation) over the 10-minute interval.

T1.csv

SCADA data from a Turkish wind turbine with 5 features.

Column	Description	Unit
Date/Time	Timestamp (10-min intervals)	DD MM YYYY HH:MM
LV ActivePower	Active Power Output	kW
Wind Speed	Measured Wind Speed	m/s
Theoretical_Power_Curve	Expected Power from Power Curve	kWh
Wind Direction	Wind Direction	°

Potential Applications

• Wind Power Forecasting: Short-term and long-term power generation prediction
• Power Curve Modeling: Analyzing the relationship between wind speed and power output
• Anomaly Detection: Identifying operational anomalies and potential faults
• Predictive Maintenance: Early fault detection using SCADA patterns
• Performance Optimization: Turbine efficiency analysis and optimization
• Machine Learning Research: Training ML/DL models for renewable energy applications

Data Quality Notes

• Both datasets use 10-minute sampling intervals, which is the industry standard for wind turbine SCADA systems
• The La Haute Borne dataset provides extensive statistical summaries (avg, min, max, std) for each measurement window
• The Turkey dataset includes a theoretical power curve column useful for performance benchmarking
• Missing values may be present and should be handled appropriately during preprocessing

Citation

@misc{engie_la_haute_borne_2018,
  title = {La Haute Borne Wind Farm Open Data},
  author = {ENGIE Group},
  year = {2018},
  howpublished = {\url{https://opendata-renewables.engie.com/}}
}

@misc{erisen_wind_turbine_2018,
  title = {Wind Turbine SCADA Dataset},
  author = {Berker Erisen},
  year = {2018},
  howpublished = {\url{https://www.kaggle.com/berkerisen/wind-turbine-scada-dataset}}
}