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Projects

Doctoral Candidates

DC1

Rongxin Wang

AI augmented design optimization of wind farms

DC2

Carlos Morales

Application of Machine Learning to Wind Resource Assessment

DC3

Kelley Ruehl

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

DC4

Zhengxing Zhu

Digital wind park co-design

DC5

Bassey Okon Samuel

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

DC6

Kenza Amhis

Digital controls for noise mitigation

Paul Dupin

DC7

Optimal strategies for lifetime-conscious power curtailment

DC8

Hamidreza Mirzaeian

Data driven predictive maintenance of wind turbines

DC9

Yannic Janal

Data driven Digital Twins frameworks for the maintenance of wind turbines

DC10

Luiz Fernando Simões

Probabilistic assessment of wind turbines lifetime – application to lifetime extension

DC11

Daniel Kwayke

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

DC12

Jorge Laguna Argüello

Towards a Virtual Wind Farm Hub Reference Implementation