
What if your energy system could anticipate, not just respond?
That’s the question driving new research led by Flinders University researcher, Dr Matthew Stephenson, recently funded through the Strategic Industry Research Program (SIRP), a federally funded initiative at Flinders Factory of the Future.
Supported by Innovation Central Adelaide (ICA), the project is transforming how renewable energy systems are managed using AI to move from static infrastructure to intelligent decision-making.
From data to decisions:
Using data from a large-scale solar installation of around 20,000 panels, the team has developed machine learning models that forecast energy generation. But the real impact lies in what that enables.
By combining forecasting with simulation, the project explores smarter ways to:
• reduce energy waste
• optimise storage and battery use
• respond dynamically to changing conditions
