This project aims to design and develop light-AI, including computation-light AI and data-light AI, to enable cognitive power electronics, which holds great potential to address longstanding challenges in operation optimization and condition monitoring of power electronics (PE).
Renewable energy generation and electrification are among the top priorities all over the world. An essential part of renewable energy generation is power electronics (PE) that perform electrical energy conversion. For example, between a wind turbine and the electric grid, a power electronic converter is necessary to provide efficient and reliable grid integration due to the differences in voltage and frequency.
In this project, researchers from the Department of Energy Technology and Department of Computer Science at Aalborg University will combine AI and energy research to design and develop power electronics that can adapt to dynamic operation settings and predict failures.