Energy transaction and supervision system based on block chain

The invention relates to the technical field of energy management, in particular to a blockchain-based energy transaction and supervision system, which comprises a data integrity verification module, a time sequence analysis module, an anomaly detection module, a relationship mining module, a transaction strategy optimization module, an energy consumption prediction module, a federal learning framework module and a system integration and supervision module. According to the invention, the identification capability of abnormal energy data is improved through the application of isolated forest and neural network technologies, and the relationship mining module reveals the complex association between energy data by using clustering analysis, association rule mining and network analysis methods, thereby providing deep insight for decision making. The combination of a deep neural network and a reinforcement learning algorithm enables a transaction strategy to be more flexible, the energy consumption prediction mod