Advanced machine learning algorithms and their applications to renewable energy

The project mainly focuses on high performance machine learning algorithms development and their applications to addressing practical problems. State-of-art machine learning and statistical methods will be investigated and compared in terms of their performance. Further, new machine learning methods will be developed to provide better solutions than the currently available methods. Finally, these state-of-art methods will be applied to addressing the challenges in renewable energy industry, e.g. wind turbine health monitoring. Some key words for the projects:
(1) Machine learning
(2) Artificial intelligence
(3) Neural networks
(4) Data analytics and modelling
(5) Renewable energy