Advanced machine learning and big data techniques and their applications to renewable energy

The project mainly focuses on high performance machine learning and big data 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 in terms of speed and performance. Finally, these state-of-art methods will be applied to addressing the challenges in renewable energy industry, e.g. wind turbine health monitoring.