Electricity market transaction model design combining blockchain and machine learning

Abstract

With the deteriorating environment and the issuance of various national policies, green energy has begun to rise and become an important part of the energy market. The traditional energy trading model is a centralized management model, and new energy is not suitable for the current situation due to its wide distribution. Some traditional transaction models, so we use blockchain technology to solve this problem. Aiming at the problems of transaction methods, energy price competition and how to implement the blockchain in energy transactions, the K-nearest neighbor algorithm in machine learning is used to realize the automatic auction at the same time, and the ACO algorithm competition based on multiple time scales is studied. The game realizes the legality of using smart contracts to restrict market transactions, solves the problem of distributed green energy grid connection, and combines with appropriate incentive mechanisms to increase the utilization rate of green energy and promote the rational development of ecology and human life.