The AI in Energy track will examine how artificial intelligence can support renewable-energy deployment, system reliability, operational performance and better decision-making.
AI Strategy & Readiness
Leadership priorities, data readiness, governance, workforce capability, use-case selection and implementation pathways.
Renewable Forecasting
Wind and solar forecasting, demand prediction, uncertainty management and market participation.
Grid Intelligence & Flexibility
Network planning, congestion management, demand response, distributed resources and virtual power plants.
Asset Optimisation
Predictive maintenance, anomaly detection, inspection, performance analytics and digital twins.
Storage & Control
Battery optimisation, dispatch, degradation analytics, energy-management systems and intelligent control.
Responsible AI & Cybersecurity
AI governance, transparency, human oversight, data protection, cyber resilience and regulatory considerations.
Indicative formats
- Executive and policy panels.
- Technical presentations and peer-reviewed papers.
- Real-world renewable-energy case studies.
- Technology demonstrations and implementation workshops.
- Academic, startup and industry research contributions.
Programme status
Detailed session titles, speakers and timings are being finalised. Proposals will be reviewed for technical relevance, practical evidence and alignment with the renewable-energy scope.