JinkoSolar Australia has announced a strategic collaboration with the Artificial Intelligence, Characterisation, Defects and Contacts (ACDC) research group at the University of New South Wales, to monitor and optimise the field performance of Jinko’s cutting-edge cell technologies, including the next generation of bifacial PERC and TOPCon modules.
JinkoSolar’s Australian arm will contribute critical electrical and weather data from its PV plants employing next-generation modules, with the research group, recognised for its innovative measurement of cells and modules, focusing on the utilisation of machine learning algorithms for PV applications.
The project, funded by the Australian Renewable Energy Agency, will also develop a state-of-the-art commercial monitoring system for PV plants, leveraging historical data and machine learning to enhance O&M strategies and enhance overall plant efficiency. The platform will have the capacity to investigate module and system degradation, more accurately predict soiling rates and enable proactive maintenance to prevent faults.
