IDSAI Data Study Group in Offshore Wind Farms

Apply to attend the IDSAI Study Group in Offshore Wind Farms

An Institute for Data Science and Artificial Intelligence workshop
Date1 November 2020

With support from the Alan Turing Institute, IDSAI is 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 by 13th Sept 2020.

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).


Abstract


ProviderInstitute for Data Science and Artificial Intelligence

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