Electric power system payment channel evaluating method based on large data

Abstract

The invention provides an electric power system payment channel evaluating method based on large data and belongs to the field of electric power systems. The method comprises the steps of: firstly based on investigation questionnaire data, adopting a K-means clustering algorithm to carry out figure analysis on user payment behaviors, and identifying corresponding relations between various kinds of user attributes and the various kinds of user payment behaviors; utilizing a K nearest neighbor classification algorithm to carry out nearest neighbor clustering on electric power system payment channel evaluation factors, using a clustering result as a payment channel evaluation index, and establishing a payment channel evaluation system; utilizing a simulated genetic annealing algorithm to determine the weight of the payment channel evaluation index so as to form a payment channel evaluation module; and for new areas or new periods, utilizing electric power system practical payment data to judge whether the payment channel evaluation module is suitable, and if not, establishing a new evaluating module. The invention fills a technical void in the electric power system field, the quantitative evaluation of the electric power system payment channel is realized, and a scientific decision making basis are provided for the planning, construction and reconstruction of the payment channel.

Description

technical field [0001] The invention belongs to the field of electric power systems, and in particular relates to a method for evaluating payment channels of electric power systems based on big data. Background technique [0002] With the rapid development of social economy and technology, electricity consumption has continued to grow, and the number of electricity customers and electricity sales have also continued to increase significantly. In order to better serve the majority of users, payment channels have been developing in a diversified and diversified direction, such as figure 1 However, different payment channels have disadvantages to varying degrees, such as unreasonable distribution of business outlets, inflexible business window settings, unbalanced human resource allocation, risks in electricity fee recovery, and slow signing of fee control agreements. How to use electricity The big data of the marketing system realizes the quantitative evaluation of the existin...

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Problems solved by technology

[0002] With the rapid development of social economy and technology, electricity consumption has continued to grow, and the number of electricity customers and electricity sales have also continued to increase significantly. In order to better serve the majority of users, payment channels have been developing in a diversified and diversified direction, such as figure 1 However, different payment channels have disadvantages to varying degrees, such as unreasonable distribution of business outlets, inflexible business window settings, unbalanced human resource allocation, risks in electricity fee recovery, and slow signing of fee control agreements. How to use electricity The big data of the marketing system realizes the quantitative evaluation of the existing payment channels, and further provides a scientific basis for the construction planning and transformation of the payment channels, which is still a technical blank

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