The Journal of Agentic AI for Sustainable Energy (JAAISE) publishes original research, review articles, and short communications on agentic artificial intelligence, autonomous decision-making, and intelligent control for sustainable energy systems. The journal welcomes theoretical advances and practical applications in multi-agent coordination, renewable energy integration, smart grids, energy storage, and energy management, supported by rigorous analysis and evidence. Topics 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

Submissions should demonstrate a substantive connection between agentic AI or autonomous intelligent methods and sustainable energy, supported by rigorous analysis, simulation or experimental evidence.