An eDNA/Omics Strategy for the Ranger Uranium Mine
Remote Research Impact Workshop
Informing conservation planning for threatened river sharks
Information Session CDU Nursing and Midwifery
Webinar: Not in the textbook - Balancing life and big dreams
Alumni webinar: Not in the textbook - Turning passion into impact
The in-depth observations of First Nations seasonal calendars could be key to improving solar power forecasting, according to a world-first study by Charles Darwin University (CDU).
The study combined First Nations seasonal calendars with a novel deep learning model, an artificial intelligence technique, to predict future solar panel power output.
Solar is one of the world’s leading renewable energy alternatives but there continues to be challenges with the technology’s reliability.