Electricity fee sensitive user analysis method based on stacking and bagging algorithms

A user analysis and electricity bill technology, applied in the field of electricity, can solve the problem that the degree of data analysis and utilization of power companies is not high enough

Active Publication Date: 2017-12-22
MERIT DATA CO LTD
View PDF2 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The inventor found in the process of realizing the present invention that the degree of analysis and utilization of these data by the power company is not high enough

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Electricity fee sensitive user analysis method based on stacking and bagging algorithms
  • Electricity fee sensitive user analysis method based on stacking and bagging algorithms
  • Electricity fee sensitive user analysis method based on stacking and bagging algorithms

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0050] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0051] In the embodiment of the present invention, the power users of a certain provincial electric power company in 2015 are taken as the target group, and based on the marks of electric power experts in the municipal companies under the jurisdiction for the sensitive users of electricity charges, the two groups of sensitive users and non-sensitive users are explored and analyzed. Differences in the characteristics of large class groups. Relying...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses an electricity fee sensitive user analysis method based on stacking and bagging algorithms. The electricity fee sensitive user analysis method comprises steps of using an optimal zone algorithm to solve problems of nonequilibrium and intolerance and construct a training set and a testing set according to electricity fee sensitive classification targets and on the basis of multiple core business indexes of an electricity fee sensitive original data table, further subdividing related core business structuralized characteristics based on electricity fee sensitivity, using a stacking method to construct an electricity sensitive primary model on the basis of nonstructural text characteristics of particles and word frequency statistics, generating extended stacking characteristics for each sample, combining characteristics of the two as an integral input, using a bagging algorithm and a vote algorithm to construct an electricity fee sensitivity secondary model on the training set and the testing set, using a trained model to perform prediction on a verification set and verifying during practical business. The Electricity fee sensitive user analysis method based on stacking and bagging algorithms can improve mastery degree of an electric power company about electricity fee sensitivity of the user, and is beneficial for providing differential and specific quality power supply service.

Description

technical field [0001] The invention relates to the technical field of electric power, and more specifically, relates to a method for analyzing electric charge-sensitive users based on stacking and bagging algorithms. Background technique [0002] With the deepening of the reform of the power system and the gradual release of the power sales side to social capital, the current extensive operation and unified customer service content and model are difficult to meet the growing requirements for personalized and precise customer service experience . How to make full use of existing data resources, dig deep into the potential needs of customers, improve the quality of power supply services, and enhance customer stickiness are crucial to the company's future development. Customers with strong sensitivity to power services often have higher requirements for the quality and methods of services such as electricity bill metering, power supply quality, and power marketing, and have b...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06Q50/06
CPCG06Q30/0201G06Q50/06
Inventor 程宏亮黄蓉贾珍妮程怡馨
Owner MERIT DATA CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap