Large industry user electricity consumption analysis system and method based on unsupervised learning

The invention relates to the technical field of electricity consumption analysis of large industrial users, in particular to an electricity consumption analysis system and method for large industrial users based on unsupervised learning, which adopt a directional transmission mode to transmit acquired data, reduce the influence of surrounding electrical equipment on data transmission and improve the data transmission efficiency. The influence of surrounding electrical equipment in the data transmission process is reduced, and then in the data transmission process, the integrity and authenticity of the data are judged by comparing the data with randomly extracted data features and comparing the size of the data before sending and the size of the data after receiving, so that the accuracy of an analysis and prediction result is guaranteed; electricity utilization is reasonably planned in a mode of performing virtual simulation by using a prediction result, so that the practicability of the system is improved; c