Multi-Agent Energy Systems Simulation
This special issue belongs to the section "F: Electrical Engineering".
Special Issue Information
Dear Colleagues,
The synergy between artificial intelligence and power and energy systems is providing promising solutions to deal with the increasing complexity of the energy sector. In particular, multi-agent systems are widely used to simulate complex problems in the power and energy domain, as they enable the modelling of dynamic environments and the study of the interactions between the involved players. Multi-agent systems are suitable not only to deal with problems related to the upper levels of the system, such as the transmission grid and wholesale electricity markets, but also to address challenges associated with the management of distributed generation, renewables, large-scale integration of electric vehicles, and consumption flexibility. Agent-based approaches are also being increasingly used for control and to combine simulation and emulation, by enabling the modelling of the details of buildings’ electrical devices, microgrids, and smart grid components.
This Special Issue brings together the latest advances and trends in multi-agent energy systems simulation. Contributions are welcome on all kinds of agent-based solutions for power and energy systems, including both theoretical multi-agent models and practical applications. We invite papers on innovative technical developments, reviews, and case studies related to multi-agent energy systems simulation.
Dr. Tiago Pinto
Dr. João Soares
Dr. Fernando Lezama
Guest Editors
Manuscript Submission Information
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Keywords
- Agent-based demand–response simulation
- Agent-based simulation of electric vehicles integration in power systems
- Agent-based simulation, emulation, and control of physical energy resources
- Agent-based smart grid simulation
- Energy resources coalition formation and management models using multi-agent systems
- Game-theoretical models for multi-agent energy systems
- Multi-agent simulation of electricity markets
- Multi-agent systems and meta-heuristic optimization of energy resources
- Multi-agent systems for energy management in buildings
- Multi-agent systems for power network planning, operation, and management
- Real-time and off-line simulation of multi-agent systems in smart grid environments
- Renewable energy resources simulation with multi-agent systems
- Specialized software and tools for simulation of energy systems
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Published Papers
Energies - ISSN 1996-1073