Applications of blockchain and artificial intelligence technologies for enabling prosumers in smart grids: A review
Weiqi Hua, Ying Chen, Meysam Qadrdan, Jing Jiang, Hongjian, Sun, Jianzhong Wu

TL;DR
This review explores how blockchain and artificial intelligence technologies can enable prosumers in smart grids by supporting decentralized energy trading, market structures, and intelligent system operations to achieve net zero emissions.
Contribution
It provides a comprehensive overview of integrating blockchain and AI into smart grids to facilitate prosumer participation and enhance energy market and system operations.
Findings
Blockchain offers decentralized platforms for energy trading.
AI improves system monitoring and decision-making.
Policy design supports prosumer integration with renewables.
Abstract
Governments' net zero emission target aims at increasing the share of renewable energy sources as well as influencing the behaviours of consumers to support the cost-effective balancing of energy supply and demand. These will be achieved by the advanced information and control infrastructures of smart grids which allow the interoperability among various stakeholders. Under this circumstance, increasing number of consumers produce, store, and consume energy, giving them a new role of prosumers. The integration of prosumers and accommodation of incurred bidirectional flows of energy and information rely on two key factors: flexible structures of energy markets and intelligent operations of power systems. The blockchain and artificial intelligence (AI) are innovative technologies to fulfil these two factors, by which the blockchain provides decentralised trading platforms for energy…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsBlockchain Technology Applications and Security · Smart Grid Energy Management · Energy Load and Power Forecasting
