The Data-Driven Turbine Performance Analysis space
This space offers a safe discussion forum for the open data science solutions offered in connection with the book “Data Science for Wind Energy” and the author Yu Ding’s research team at Georgia Tech.
Your benefits:
- A central location providing access to the relevant code and data.
- Access specific “challenges” around the topic of data-drive turbine performance analysis.
- The first challenge is the “Wind Turbine Power Curve Model Challenge“, which aims to compare and benchmark power curve models run on common data sets!
- The second challenge is the “Wind Turbine Power Enhancements Collaboration“, which aims to compare and benchmark power enhancement methods.
- Share code and initiate collaborations with other users of the code and data.
- Keep up-to-date on developments related to the topics in the book.
- Communicate and share ideas with the book author and members of his research group.
- Attend (optional) regular webinars sharing ideas around the topic of data-drive turbine performance analysis.
We look forward to seeing you online! Sign up below and make sure to select the space “Data-Driven Turbine Performance Analysis“!