Aims and scope
Full aims and scopeTopics include, but are not limited to:
- Agentic AI architectures for sustainable energy systems
- Multi-agent coordination and distributed energy management
- Autonomous planning, reasoning and decision-making
- Reinforcement learning and adaptive energy control
- Generative AI and large language model agents for energy applications
- Autonomous microgrids and virtual power plants
- Renewable energy integration and intelligent forecasting
- Intelligent energy storage and battery management
- Electric vehicle charging and vehicle-to-grid coordination
- Agent-based demand response and energy trading
- Digital twins for autonomous energy systems
- Intelligent control of power electronics and converters
- Distributed optimisation and resource scheduling
- Cybersecurity and privacy in agent-enabled energy networks
- Explainability, safety and human oversight in autonomous energy control
- Verification, benchmarking and reproducibility of energy AI systems
- Energy-efficient agentic AI and lifecycle sustainability assessment
- Applications in smart buildings, industry and integrated energy systems