The DARES group at Tampere University has been awarded €582,026 in Academy Project funding from the Research Council of Finland for the project “Scalable and Resilient Federated Learning for Fleet-Wide Condition Monitoring of Wind Farms (FleetCM4Wind)”. The project was ranked second among all 2026 Academy Project Funding applications evaluated by the “Robots, Automation and Production Design” Review Panel.
FleetCM4Wind addresses a key challenge in modern wind energy systems: enabling collaborative condition monitoring across geographically distributed wind farms while preserving data privacy and ownership. The project will develop scalable, privacy-preserving, and resilient federated learning frameworks that allow operators to train shared diagnostic models without exchanging raw operational data. The outcomes will contribute to more dependable renewable energy production while strengthening Finland’s and Europe’s leadership in trustworthy AI for clean energy systems.
The funding was awarded through the highly competitive 2026 Academy Project Funding call of the Research Council of Finland, where the overall success rate was approximately 14%.
Read more:
Research Council of Finland project page
Tampere University project news