An advanced web interface integrating conversational AI simplifies interaction and boosts decision-making efficiency for Operations and Maintenance (O&M) tasks in solar photovoltaic (PV) plants. This platform facilitates seamless scheduling and communication of crucial decisions to both technical personnel and robots.
School
Photovoltaic and Renewable Energy Engineering
Research Area
Artificial Intelligence | Photovoltaic System
- Research environment
- Expected outcomes
- Supervisory team
- Reference material/links
The project will involve working with highly motivated team members to turn the developed technology into commercial product.
The desired result is to create a user-friendly interface utilising HTML/CSS or Python frameworks like Streamlit (or equivalents) for implementing conversational AI within a web environment.
