Abstract:In the research on providing diversified services to users based on power big data, it is found that the power grid is cut off at different times, different users have different experiences of power cut-off, and different users need differentiated services due to different lines when scheduling plans are made. For this reason, a study on users'' electricity consumption perception based on big data of electricity is proposed. Firstly, data collection is carried out through the internal and external systems of the power grid. Secondly, data processing and analysis are carried out from multiple dimensions based on large data. A power demand model and a user power consumption perception model are established and applied in depth. Through this model, the reliability of power supply with limited investment can be improved the fastest, and the demand of users can be met to the greatest extent. The invention can realize the complementation of power consumption of users in different industries and categories to the greatest extent and improve the utilization rate of equipment. The invention can realize power outage at the lowest time when power consumption perception is realized, and the power outage involves more accurate users. The reference of this model realizes intelligent decision-making of power grid planning, user access and dispatching operation, which makes power grid planning investment more accurate, fixed investment improves reliability fastest, and improves equipment utilization efficiency and user satisfaction.