Name: Wind Power Forecasting
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

Wind Power Forecasting

Context

Here's data of a certain windmill. The aim was to predict the wind power that could be generated from the windmill for the next 15 days. A long term wind forecasting technique is thus required.

Content

It contains various weather, turbine and rotor features. Data has been recorded from January 2018 till March 2020. Readings have been recorded at a 10-minute interval.

References

https://www.hindawi.com/journals/mpe/2010/684742/

https://www.sciencedirect.com/science/article/abs/pii/S0925231201007020

Inspiration

Renewable energy remains one of the most important topics for a sustainable future. Wind, being a perennial source of power, could be utilized to satisfy our power requirements. With the rise of wind farms, wind power forecasting would prove to be quite useful.

Tables

Turbine Data

@kaggle.theforcecoder_wind_power_forecasting.turbine_data

11.21 MB
118,224 rows
22 columns

CREATE TABLE turbine_data (
  "unnamed_0" VARCHAR  -- Unnamed: 0,
  "activepower" DOUBLE,
  "ambienttemperatue" DOUBLE,
  "bearingshafttemperature" DOUBLE,
  "blade1pitchangle" DOUBLE,
  "blade2pitchangle" DOUBLE,
  "blade3pitchangle" DOUBLE,
  "controlboxtemperature" DOUBLE,
  "gearboxbearingtemperature" DOUBLE,
  "gearboxoiltemperature" DOUBLE,
  "generatorrpm" DOUBLE,
  "generatorwinding1temperature" DOUBLE,
  "generatorwinding2temperature" DOUBLE,
  "hubtemperature" DOUBLE,
  "mainboxtemperature" DOUBLE,
  "nacelleposition" DOUBLE,
  "reactivepower" DOUBLE,
  "rotorrpm" DOUBLE,
  "turbinestatus" DOUBLE,
  "wtg" VARCHAR,
  "winddirection" DOUBLE,
  "windspeed" DOUBLE
);