Energy Trading

Energy trading research focuses on optimizing energy exchange within decentralized systems, aiming to improve efficiency, sustainability, and grid resilience. Current efforts explore various market designs, including peer-to-peer (P2P) models and decentralized marketplaces, often employing multi-agent reinforcement learning (MARL), game theory, and blockchain technologies like NFTs to manage transactions and incentivize participation. These advancements address challenges in integrating renewable energy sources, managing fluctuating demand, and ensuring fair pricing while maintaining user privacy and data security. The resulting improvements in energy management have significant implications for both the development of smart grids and the broader adoption of sustainable energy practices.