Optimizing Renewable Energy Networks Using Blockchain Technique

The growing complexity of decentralized renewable energy networks demands advanced technologies for secure energy transactions and optimized resource distribution. Blockchain offers a secure and transparent platform for peer-to-peer energy trading, while hybrid learning algorithms can predict and balance energy supply and demand in real-time. This paper introduces an innovative system that combines blockchain with a multi-layered optimization model driven by machine learning techniques. The model addresses inefficiencies in renewable energy distribution and improves transaction security. Extensive simulations on renewable energy datasets indicate that this integrated framework enhances operational performance and scalability for future energy systems.