Training School 1
Hosted by DTU at its Risø Campus in Roskilde, Denmark, IntelliWind's first Training School brought together the project's doctoral candidates for an intensive 1½ weeks introduction programme.
The training school combined technical learning, hands-on exercises, and transferable skills to give participants a shared foundation for their PhD projects and future collaboration across the network.
Over the seven days, our DCs explored how modern wind energy systems work – and how data, artificial intelligence, and automation can transform the way wind power plants are operated and maintained. The programme consisted of a mix of expert lectures and practical sessions, ensuring that theory was directly linked to real-world challenges.
Key themes included:
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Wind energy fundamentals, from turbine design to operations and maintenance
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Data science, machine learning, and AI applied to wind energy
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Hands-on work with real operational (SCADA) data
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Autonomous systems and decision-making in wind power plants
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Scientific communication, open science, and project management skills
Training School 1 set the common ground for IntelliWind’s doctoral candidates, aligning technical understanding across disciplines and strengthening collaboration within the network. It also marked the starting point for developing the next generation of researchers capable of designing trustworthy, intelligent systems for the future energy system.
The training was attended by nearly all doctoral candidates recruited at the time and received very positive feedback, particularly for its balance between technical depth, practical relevance, and collaborative learning.
For the full Training School Report, you can download it, by clicking the below button.
