Method and system for enterprise user status assessment based on power load data

Abstract

This application discloses a method and system for evaluating the state of enterprise users based on power load data. The method includes: obtaining the power load data of the enterprise user to be evaluated on the evaluation date and the monthly and daily power load data of the same period in history and removing outliers; removing outliers After effective value screening of the power load data, the effective power load data is obtained; based on the effective power load data, the equivalent production capacity of the enterprise users to be evaluated on the evaluation day and the equivalent production capacity in the same period of history are calculated; The equivalent production capacity and the equivalent production capacity of the same period of history are calculated to calculate the resumption rate and resumption rate of the enterprise user to be evaluated on the evaluation day; according to the resumption rate and resumption rate on the evaluation day, analyze and evaluate the current production status of the enterprise user and the situation under different circumstances ability to resume work and production. It has realized the effective monitoring of the production status of enterprise users, the accurate assessment of the resumption of work and production, and the timely warning of adverse situations.

Description

technical field [0001] The invention belongs to the technical field of electric power big data application, and relates to an enterprise user status evaluation method based on electric load data. Background technique [0002] With the continuous development of the smart grid, the operation of power enterprises has gradually realized intelligence and informationization, and the power data has also shown a trend of rapid growth. The three major types of data that can be collected are power operation, management and marketing, forming a large-scale and diverse big data resource, and have been used in power grid status monitoring, power grid loss monitoring, power grid security and stability analysis and early warning, distribution network re-emergence, etc. Overload risk assessment and many other aspects of application. The application of electric power big data has provided a strong impetus for power companies to improve quality and efficiency and serve the society. [0003]...

AI Technical Summary

Problems solved by technology

However, there are few existing electric power big data applications. Use the user's electricity consumption information in the marketing data to conduct big data analysis and evaluation of user status such as business resumption and production resumption.

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