IntelliWind
Intelligent Systems for autonomous Wind power plant operations
​A European Doctoral Network, granted under the Horizon Europe MSCA programme, which trains the next generation of multidisciplinary researchers to develop intelligent systems supporting autonomous wind power plants (WPP) operations
Key research areas
Predictive Prognostics in Wind Turbine Health Monitoring.
Enhancing Wind Turbine Longevity through Advanced Mitigation Techniques.
Advancements in Wind Turbine Decision-Making.
Trustworthiness and Practical Implementation of Autonomous Operations.
Research Objectives
​Develop data acquisition, diagnostics, and prognostics methodologies that automatically provide the appropriate information basis for autonomous decision-making.​​
​Build a decision-making pipeline covering the entire chain from information processing, through insights, to optimal business decisions, by developing and implementing innovative modelling, logics, and optimisation methodologies, featuring feedback mechanisms for self-learning, and enhancing the prediction capability.
​​​Develop a catalogue of automated mitigation actions and their associated impacts, for a set of critical, labour-intensive wind turbine operation use cases.​​
Establish the trustworthiness, robustness, safety, security, and compliance of proposed autonomous operation solutions through uncertainty quantification, explainability, and robustness studies.
​Propose solutions for the integration of the innovative technologies in the business.
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Funding
Intelliwind is a European Doctoral Network, granted under the Horizon Europe MSCA programme (HORIZON-MSCA-2023-DN-01-01, Grant agreement 101168725).
Intelliwind runs between 01.09.2024 and 30.08.2028
