This research focuses on the recognition of relevant factors affecting user electricity utilization and the development of a projection method for electricity utilization quantity using big data. With the increasing availability of electricity utilization data, there is a need to explore multiple electricity utilization modes and expand existing analysis methods

user electricity utilization, big data, factor recognition, quantity projection, electricity utilization modes, subspace clustering analysis, mutual information matrixes, random forest algorithm