UNSW Future Clean Energy Booklet | Page 38

FUTURES EXPO SERIES

AI

research for energy
> Insights to further enhance the current NSW EV Charging Master Plan .
> The world ' s first prompttuned and fine-tuned Large Language Models ( LLMs ) for energy demand forecasting .
Sustainable and flexible innovations for a data-driven energy revolution
Research group
AI Research for Energy is a pioneering project driving sustainable innovation in the energy sector . Through detailed analysis of EV driving patterns , the team optimises charging station locations , enhancing infrastructure planning .
The research goal is to harness artificial intelligence ( AI ) and machine learning for precise energy forecasting and flexibility . Using advanced methods , the team ensures efficient resource allocation , grid stability , and emission reduction . It empowers organisations to align energy usage with renewable sources , cutting costs and environmental impact . In addition , it explores AGI ' s transformative potential in transportation , envisioning smarter and greener mobility systems .
The team ’ s interdisciplinary approach includes energy forecasting , flexibility , and AGI to catalyse sustainable change across the energy and transportation sectors .
The project is currently in the early phases of national scale-up .
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