Graph Neural Network of a Wind Farm

Modelling Wake Interactions within a large windfarm based on a Graph Neural Network.

#09

⛶ Full screen

The goal of this challenge is to model wake interactions within a large windfarm based on a Graph Neural Network. With the Graph Neural Network the turbines that have the largest impact on the Annual Energy Production of the whole wind farm due to wake interactions should be identified. This will allow wind farm operators to make specific changes to certain turbines in order to optimize the power production.

Challenge slides

🧑🏼‍🏫 OST Sarah Barber, Francesca Paoletti

Event finished

17.09.2022 16:00

Setting up coding environment and providing data

16.09.2022 09:59 ~ florian_hammer

Ask

16.09.2022 09:57

Joined the team

16.09.2022 09:57 ~ florian_hammer

Event started

16.09.2022 09:00

Ask

08.08.2022 13:37

Edited content version 7

08.08.2022 13:37 ~ darienne_hunziker

Edited content version 5

02.08.2022 14:52 ~ darienne_hunziker

Edited content version 3

02.08.2022 14:36 ~ darienne_hunziker

Challenge posted

02.08.2022 14:36 ~ darienne_hunziker
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.

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

Energy Data Hackdays 2022