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Département d'Informatique

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Knowledge Institute

ULB

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Address

Campus de la Pleine, Boulevard du Triomphe - CP212, 1050, Bruxelles, Belgium

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Website

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N° of FTE working on wind topics

Less than 5

Our offshore wind expertise (general)

None specifically for offshore wind, but we have expertise in time series analysis (forecasting, imputation, anomaly detection, health assessment, etc) with Machine Learning techniques and Digital Twins

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Our group was/is involved in these key offshore wind projects:

  • Detection and forecasting of the occurrence of ramp events in wind farms

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Our relevant equipment | tools | infrastructure

for offshore wind:

Machine Learning algorithms and expertise on tools to build Digital Twins

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5.1.1 Optimization of HVDC and HVAC systems/grids 

4.2.2 Predictive analytics and machine learning

4.3 Digital Twins and Simulation 

4. Operation and Maintenance (O&M)

5.1 Electrical Systems and Grid Connection 

4.2.1 Real-time turbine structural health monitoring

4.2 Condition monitoring and (predictive) maintenance  

4.3.2 Digital twin development for risk management 

4.1.2 Strategies for improved grid integration and power management  

4.1 Optimisation of wind farm operations 

4.3.1 O&M process modelling and simulation 

4.1.1 Performance and Energy Yield Optimisation

5. System integration

Our offshore wind expertise (all lifecycle stages)

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Contact details

Gianluca Bontempi

Professor at ULB Department of Computer Science and coHead of the Machine Learning Group of ULB

gianluca.bontempi@ulb.be

Natalia Garcia Colin

Research and innovation lead of the Machine Learning Group of ULB

natalia.garcia.colin@ulb.be 

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