GAME THEORY-BASED OPTIMIZATION FOR SUSTAINABLE ENERGY TRADING SYSTEMS

This article explores the transition from traditional energy networks to Microgrid networks, highlighting the implications of Energy 4.0 and the adoption of modern innovative approaches in energy systems. As energy demands evolve, decentralized energy trading systems are emerging as crucial mechanisms that empower consumers and enhance grid resilience. The paper presents a technical solution to the challenges posed by this transition, focusing on optimizing energy trade through Corporate Game Theory methods. By employing these strategic frameworks, the study aims to improve decision-making processes among market participants, ultimately leading to more efficient energy transactions. The results demonstrate significant advancements in optimizing energy trade, showcasing the potential for increased efficiency and sustainability in decentralized energy markets. This research contributes to a deeper understanding of how innovative strategies can facilitate the effective integration of Microgrid networks within the broader context of Energy 4.0.