We challenge you to come up with your own idea and research question!
We are launching a challenge offering participating teams a unique opportunity to work with the KI-VISIR dataset to develop their own idea(s) and research questions by working with this data.The data is provided free of charge and questions to be answered will be defined by the teams.
Potential projects might tackle AI based image processing, detection of thermal turbulence patterns, matching visual and thermal images, and deriving turbine performance insights.
Each team will need to submit their work through this form. The three best submissions will be invited to present their work during the WindEurope Technology Workshop 2025 (19-20 June 2025, Istanbul).
Goals of the exercise are to:
1) Foster innovative AI and machine learning solutions in renewable energy.
2) Encourage collaboration between students in AI, data science, engineering, and wind energy fields.
3) Provide a hands-on opportunity to work with real-world data for cutting-edge research.
Each team will need to come up with their own idea and research questions. All submitted applications will be reviewed and judged by the jury according to the below criteria:
* Degree of innovation compared to conventional inspection methods and their information content
* Technical complexity of the question and the answer worked out on the basis of the data set provided
* Industrial relevance and applicability including potential business cases
* Quality of the live presentation to the jury and of an elaborate scientific publication
Objective of the exercise: participants are encouraged to explore a wide range of applications using the dataset. Potential tasks include, but are not limited to:
* Training AI models to detect thermal turbulence patterns (TTP) and surface damage on rotor blades.
* Matching visual and thermal images to study the effects of leading-edge erosion and turbulent flow.
* Deducing additional parameters or insights relevant to turbine performance, maintenance, or aerodynamics using AI techniques.