July 7th, 2023
Start sharing data today!
On May 15th, 2023 we held our WeDoWind launch webinar and announced a call for Advisory Board members!
Access the recording here.
Introduction to WeDoWind
In the webinar, we introduced WeDoWind, a framework for bringing asset owners together with researchers and model developers in a "win-win" situation, whereby asset owners get easy access to state-of-the-art data analytics and model developers get access to relevant asset data to train and validate their models.
It is based on industry-provided challenges, which are coordinated through digital spaces. Multiple digital spaces form branch-specific ecosystems of collaborators. It can be applied in any sector.
After an introduction to WeDoWind and a description of the success stories so far from Sarah Barber, we heard from four current and previous challenge providers and four solution providers.
What did the participants say?
"I find WeDoWind a great place to amplify one’s research outcome, and also the place to meet and collaborate with folks sharing similar interests and concerns."
Prof. Yu Ding, challenge provider of the Data-Driven Turbine Performance Analysis space (Texas A&M University, USA)
"The industry needs to collaborate better to accelerate the energy transition. WeDoWind facilitates this collaboration and brings people from a wider network together."
Charlie Plumley, challenge provider of the Cubico Open Data Exploration space (Cubico Sustainable Developments, UK)
"WeDoWind is a great space which gives academic researchers access to problem statements and data from the industry and the industry players new, innovative solutions to their problems."
Daniel Heid, challenge provider of the WinJi Failure Detection Challenge (WinJi AG, Switzerland)
"WeDoWind is a great initiative for making research data available to others within a structured and methodological approach"
Dr. Imad Abdallah, challenge provider of the RTDT Research Affiliate Programme space (RTDT Laboratories, Switzerland)
"Although this challenge wasn't directly related to my PhD research, it was an incredible opportunity to dive deeper into the wind energy industry and connect with fellow PhD students. This collaboration has given me a better understanding of the industrial challenges tied to the wind sector and its ecosystem, ultimately enriching my perspective."
Arthur Girard, participant in the Data-Driven Turbine Performance Analysis space (ETH Zurich, Switzerland)
"WeDoWind gives me the chance to share techniques and ideas, and learn from the academic world."
Malcolm Heath, participant in the Cubico Open Data Exploration space (DNV, UK)
"It is a great opportunity to have an international collaboration using operational datasets in practical and real-world scenarios."
Prof. Yoshiaki Sakagami, previous participant in the EDP Fault Detection Challenge and the WinJi Gearbox Fault Detection Challenge (Federal Institute of Santa Catarina, Brazil)
"WeDoWind and especially the WinJi Challenge gave us the opportunity to meet other experts from the intersection of machine learning and wind energy in friendly competition. A thoroughly inspiring experience that takes you out of your own comfort zone and gives you new ideas."
Dr. Frank Sehnke, previous participant in the WinJi Gearbox Fault Detection Challenge (Zentrum für Sonnenenergie- und Wasserstoff-Forschung, DE)
How do I start sharing data today?
We then discussed how to start sharing data today via a Q&A session.
There are three ways to get involved:
1. Sign up to participate in our existing challenges
Sign up for existing challenges
2. Get in touch to create a new space or challenge with us
3. Shape the future of WeDoWind by joining the Advisory Board
We hope to hear from you soon!