Detection method of user's electricity consumption behavior of user based on clustering analysis

A cluster analysis and detection method technology, applied in data processing applications, structured data retrieval, electrical digital data processing, etc., can solve problems such as failure to know electricity stealing behavior in advance, waste of manpower, material resources, and damage to power supply systems.

Active Publication Date: 2017-05-17
YUNNAN POWER GRID CO LTD ELECTRIC POWER RES INST
View PDF11 Cites 33 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Electricity theft is usually discovered when the electricity meter is checked or the bill is paid. However, the electricity theft has already occurred at this time and the power supply system has been damaged. Electricity behavior cannot be known in advance, and electricity theft cannot be stopped in advance
[0004] At present, the methods of preventing electricity theft in our country mainly include t...

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
  • Detection method of user's electricity consumption behavior of user based on clustering analysis
  • Detection method of user's electricity consumption behavior of user based on clustering analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0058] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present invention. Rather, they are merely examples of apparatuses and methods consistent with aspects of the invention as recited in the appended claims.

[0059] Please refer to the attached figure 1 , with figure 1 It shows a schematic flowchart of a method for detecting user electricity consumption behavior based on cluster analysis provided by an embodiment of the present invention. The descriptions of the following detection methods are all attached figure 1 as the basis.

[0060] An embodiment of the present invention provides a method for...

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 provides a detection method of a user's electricity consumption behavior based on clustering analysis. According to the detection method, a user data warehouse is created so as to collect user's electricity consumption information, the created user data warehouse is processed to form principal component data so as to process large sample data, and the mining efficiency is improved; clustering calculation is conducted on the principal component data to obtain different user's electricity consumption modes, wherein outlier objects in the user's electricity consumption modes probably are electricity stealing users, and then electricity stealing suspected users are obtained by calculating for the outlier objects by means of the hierarchical clustering method. In the provided detection method of the user's electricity consumption behavior based on the clustering analysis, the hierarchical clustering method only needs to sequence the distance between the objects and conduct clustering according to a distance sequence, and the objects do not need to be inspected or estimated; meanwhile, the detection of the outliers and the clustering calculation are highly complementary, and good scalability is achieved.

Description

technical field [0001] The invention relates to the technical field of electricity consumption behavior detection, in particular to a user electricity consumption behavior detection method based on cluster analysis. Background technique [0002] Electricity theft refers to the act of not measuring or under-metering electricity consumption by illegal means for the purpose of not paying or underpaying electricity charges. Stealing electricity not only seriously damages the interests of power supply enterprises, but also disturbs the normal order of power supply and utilization, seriously affects the development of electric power industry, and poses a serious threat to the safety of electricity utilization. Once the stealing of electricity takes place on a certain scale, it will greatly increase the burden on the power supply line, at least it will affect the voltage stability of the entire community, and at the worst it will cause a power outage in the entire area and affect t...

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
IPC IPC(8): G06F17/30G06Q50/06
CPCG06F16/2465G06F16/254G06F16/283G06F16/285G06F2216/03G06Q50/06Y02D10/00
Inventor 王昕李川曹敏李英娜黄炜赵艳峰李翔赵旭蒋婷婷
Owner YUNNAN POWER GRID CO LTD ELECTRIC POWER RES INST
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