Postponed: Data study Group in offshore wind industry November 2020

 

 

 

 

Data study in the offshore wind industry

To adhere to the latest UK government rules to reduce the Covid-19 transmission rate, we have to make this tough decision to postpone this face-to-face event to next year. Meanwhile, the application is open for a longer period of time. We will keep you posted once the new proposed dates are finalised and we very much look forward to seeing you in the event when we are able to meet in person. 

 

With support from the Alan Turing Institute, we are organising a data study group to develop new methods for predictive maintenance of offshore wind farms.

 

Over 3 days, study group participants from across a variety of disciplines will work in teams to interrogate a large data set available from a UK-based wind farm and develop novel data science solutions to challenges for predictive maintenance. The ultimate aim is to use the latest methods in AI and Data Science to make this important renewable energy source more cost-efficient for our sustainable future.

 

The study group, led by Professor Tim Dodwell, will take place over 3-days in November 2020 on Streatham campus. Study group members will be carefully selected to ensure a complementary interdisciplinary mix of skills in data sciences, renewable energy and engineering.

 

This is a particularly good opportunity for early career researchers looking to build new interdisciplinary collaborations, learn new skills, or apply their knowledge and expertise in a new application area.

 

Please note that travel bursaries will be available to support participants who need to travel to Exeter to attend the event.

 

If you would like to take part, please apply here.

 

Due to many uncertainties in the future, the event would be postponed to next year if we were forced to enter into a second lockdown.

 

If you have any questions please contact Research Manager of Data Centric Engineering Group, Ms Yujin Du y.du@exeter.ac.uk

 

 

Data Centric Engineering

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