Home » Projects

Projects

Doctoral Candidates

DC1

AI augmented design optimization of wind farms

DC2

Application of Machine Learning to Wind Resource Assessment

DC3

Accurate hydrodynamic load models for wind turbine jackets based on numerical modelling and machine learning

DC4

Digital wind park co-design

DC5

Wind turbine control and fleet management tools for balancing and day-ahead markets

DC6

Digital controls for noise mitigation

DC7

Optimal strategies for lifetime-conscious power curtailment

DC8

Data driven predictive maintenance of wind turbines

DC9

Data driven Digital Twins frameworks for the maintenance of wind turbines

DC10

Probabilistic assessment of wind turbines lifetime – application to lifetime extension

DC11

Novel methods for a knowledge graph generation approach within the Virtual Wind Farm Hub

DC12

Towards a Virtual Wind Farm Hub Reference Implementation