Game Theory and Artificial Intelligence Methods in Sustainable and Renewable Energy Power Systems

Dear Colleagues,

The intersection of sustainable and renewable energy systems with advanced computational technologies represents a dynamic frontier in engineering research. The pressing global need for sustainable energy solutions has driven rapid developments in both renewable energy technologies and their management systems. Game theory, especially evolutionary game theory, along with Artificial Intelligence (AI) methods such as machine learning, are proving essential in optimizing and managing the complex dynamics of power systems. These methodologies facilitate strategic decision-making and efficient resource allocation, which are essential for enhancing the reliability and sustainability of power systems. This Topic seeks to explore the confluence of game theory and AI in the design, operation, and optimization of sustainable and renewable energy systems, highlighting significant advances and applications that could shape the future of energy management. Publishing this Topic will provide a platform for researchers and practitioners to showcase novel methodologies and case studies which integrate game theory and AI in renewable energy systems. It will also foster multidisciplinary collaborations and inspire innovative solutions, which are critical for advancing the field of sustainable energy. Topics of Interest Submissions are invited on topics including, but not limited to:

• evolutionary game theory applications in energy systems
• AI-driven optimization of grid operations
• machine learning for predictive maintenance in renewable systems
• cooperative game strategies for load balancing in smart grids
• AI models for forecasting energy production from renewable sources
• decision-support systems for energy resource management
• game theory in market-based energy allocation mechanisms
• reinforcement learning for energy storage management
• multi-agent systems in smart grid environments
• game-theoretic approaches to demand response programs
• pricing models in electricity markets using game theory
• security strategies in energy systems via game theory
• sustainability models using AI in energy sector
• integration of renewable energy sources using AI and game theory
• robustness and resilience of energy systems using AI techniques

Dr. Lefeng Cheng
Prof. Dr. Pei Zhang
Prof. Dr. Anbo Meng
Topic Editors