06_Spatio-temporal model of an on-shore wind farm

Better market predictions before you put energy into the grid

⛶  Open fullscreen

Why is it relevant?

A spatio-temporal model is of great interest within the wind energy community for more accurate wind speed forecasting, which helps to better estimate power production and to develop optimized control strategies.

The challenge

In this challenge we want to develop a spatio-temporal model of an on-shore wind farm near a coast in Brazil. The goal of the model is to be able to visualize and investigate the local winds and the interaction between turbines, in form of wake effects, within the farm.


For this we provide a dataset that contains the 10-minute average wind speeds, the wind directions and the geographic coordinates of 32 wind turbines and 1 met mast tower for a period of 1 year.

See also: https://www.iet.hsr.ch/index.php?id=18317&L=562


Event finished

25.09.2021 15:00

Making pretty pictures and putting our slides together

25.09.2021 11:28 ~ florian_hammer

Joined the team

24.09.2021 14:43 ~ regis_andreoli

Graph net and visualisation

24.09.2021 14:40 ~ florian_hammer

Edited content

24.09.2021 14:40 ~ florian_hammer

Joined the team

24.09.2021 14:39 ~ florian_hammer

Event started

24.09.2021 08:30
▲ 🆙
All attendees, sponsors, partners, volunteers and staff at our hackathon are required to agree with the Hack Code of Conduct. Organisers will enforce this code throughout the event. We expect cooperation from all participants to ensure a safe environment for everybody. For more details on how the event is run, see the Guidelines on our website.

Creative Commons LicenceThe contents of this website, unless otherwise stated, are licensed under a Creative Commons Attribution 4.0 International License.

Energy Data Hackdays 2021