Learning control of renewable energy systems

Learning control of renewable energy systems

Renewable energy has shown promising future of practical applications. Advanced learning and control technology will enable efficient renewable energy systems. This project will explore learning control technologies to enhance the efficiency in renewable energy systems. Examples include to investigate the synchronisation of smart grids, learning control of micro-grid and intelligent control of power systems. 

Scholarships: 
International Postgraduate Research Scholarships
Supervisor: 
Associate Professor Daoyi Dong
Associate Professor Hemanshu Pota