Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

User abnormal power consumption behavior detection method and device

A technology of abnormal power consumption and detection method, which is applied in the field of abnormal power consumption behavior detection of users, can solve the problems that cameras are difficult to identify and alarm, abnormal power consumption behaviors are diverse, and time-consuming, etc., and achieve the effect of improving detection accuracy.

Pending Publication Date: 2021-04-09
国网江西综合能源服务有限公司 +2
View PDF8 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] 1. The method of real-time monitoring of power supply equipment with the help of cameras, sensors and other devices is expensive, and a large number of expensive hardware is required to meet the monitoring requirements. Moreover, for software stealing, remote control stealing and other phenomena, because no one Direct participation, the camera of the device is difficult to identify and call the police
[0006] 2. The method of real-time monitoring of the state of electrical quantity is difficult to process a large amount of data in the actual distribution network in a timely manner, which takes a long time and has various abnormal power consumption behaviors, which is prone to misjudgment
[0007] 3. In order to improve the recognition accuracy, the existing methods for identifying abnormal electricity consumption behaviors of users often use complex artificial intelligence algorithms, which will take up more computing resources and take longer to calculate

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
  • User abnormal power consumption behavior detection method and device
  • User abnormal power consumption behavior detection method and device
  • User abnormal power consumption behavior detection method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0020] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0021] see figure 1 , which shows a flow chart of an embodiment of a method for detecting abnormal power consumption behavior of a user of the present application.

[0022] Such as figure 1 As shown, in S101, in response to the obtained user original data, data preprocessing is performed on the user original data, so as to obtain optimized power...

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 a user abnormal power consumption behavior detection method and device, and the method comprises the steps: responding to the obtained original data of a user, carrying out the data preprocessing of the original data of the user, and obtaining optimized power consumption data; in response to the obtained optimized power utilization data, training a training model and generating an XGBoost detection model; performing parameter optimization on the XGBoost detection model based on a genetic algorithm to determine an optimal hyper-parameter combination of the XGBoost detection model; and inputting the to-be-detected data into the XGBoost detection model, and judging whether certain optimized power utilization data are abnormal or not based on the optimal hyper-parameter combination. The genetic algorithm is adopted to adjust and optimize the parameters of the XGBoost detection model, simultaneous optimization of hyper-parameters of a plurality of XGBoost models is realized, the abnormal power utilization detection model with excellent performance is finally obtained, and the detection accuracy is improved.

Description

technical field [0001] The invention belongs to the technical field of power grid anti-stealing, and in particular relates to a method and a device for detecting abnormal power consumption behavior of users. Background technique [0002] With the rapid development of the economy, the user's demand for electricity continues to increase. If the user's electricity consumption behavior is abnormal, it will increase the non-technical loss of the power grid and increase the operating cost of the power company. The traditional detection methods for abnormal electricity consumption behavior of users are regular inspection of lines by on-site personnel, regular calibration of electric meters, and user reports. These methods are highly dependent on people and require a lot of labor costs. Time-consuming and inefficient. [0003] At present, the research on abnormal power consumption behavior detection is mainly divided into two types: state-based and artificial intelligence-based met...

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): G06K9/62G06N3/12G06Q50/06
CPCG06N3/126G06Q50/06G06F18/2135G06F18/214G06F18/24323
Inventor 户艳琴刘念李承霖傅皆恺黄天翔张延石德文李柯舟胡志强范志夫
Owner 国网江西综合能源服务有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products