The paper introduces an advanced Decentralized Energy Marketplace (DEM) integrating blockchain technology and artificial intelligence to manage energy exchanges among smart homes with energy storage systems. The proposed framework uses Non-Fungible Tokens (NFTs) to represent unique energy profiles in a transparent and secure trading environment. Leveraging Federated Deep Reinforcement Learning (FDRL), the system promotes collaborative and adaptive energy management strategies, maintaining user privacy. A notable innovation is the use of smart contracts, ensuring high efficiency and integrity in energy transactions. Extensive evaluations demonstrate the system's scalability and the effectiveness of the FDRL method in optimizing energy distribution. This research significantly contributes to developing sophisticated decentralized smart grid infrastructures. Our approach broadens potential blockchain and AI applications in sustainable energy systems and addresses incentive alignment and transparency challenges in traditional energy trading mechanisms. The implementation of this paper is publicly accessible at \url{https://github.com/RasoulNik/DEM}.

使用区块链技术和人工智能，该研究论文介绍了一种先进的去中心化能源市场（DEM），用于管理具有能量存储系统的智能家居之间的能量交换，通过使用非同质化代币（NFTs）在透明和安全的交易环境中表示独特能源配置文件。该系统利用联邦深度强化学习（FDRL）促进协作和自适应能源管理策略，保护用户隐私。一个显著的创新是使用智能合约，确保能源交易的高效性和完整性。广泛的评估证明了该系统的可扩展性以及FDRL方法在优化能源分配中的有效性。该研究对于开发复杂的去中心化智能电网基础设施具有重要贡献。我们的方法拓宽了可持续能源系统中区块链和人工智能应用的潜力，并解决了传统能源交易机制中的激励一致性和透明度挑战。本文的实现可在https://github.com/RasoulNik/DEM 上公开访问。

基于NFT和基于AI的代理人的分散能源市场