This project aims to develop a multi-agent AI system to enhance the modeling, performance analysis, and optimization of solar power plants. The system will integrate multiple AI agents, each specialising in different tasks. These agents will collaborate and communicate through a shared framework, improving decision-making efficiency, reducing operational risks, and optimising power generation.
School
Photovoltaic and Renewable Energy Engineering
Research Area
AI & multi agent systems | Renewable energy and solar PV
Suitable for recognition of Work Integrated Learning (industrial training)?
Please check with project lead
- Research environment
- Expected outcomes
- Supervisory team
- Reference material/links
The project will be conducted in an interdisciplinary research environment, involving collaboration between experts in AI and solar system modelling.
- A multi-agent AI framework capable of real-time solar plant simulation, monitoring, and optimisation. A scalable and customisable AI solution that can be applied across different solar power plant configurations.
