Decentralized Energy Marketplace via NFTs and AI-based Agents
Rasoul Nikbakht Farhana Javed Farhad Rezazadeh Nikolaos Bartzoudis Josep Mangues-Bafalluy
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}.