Unsupervised non-intrusive load monitoring result autonomous labeling method

A load monitoring, non-intrusive technology, applied in power network operating system integration, electrical components, information technology support systems, etc., can solve problems such as limited scene generalization capabilities, reduce research workload, and improve diversity.

Inactive Publication Date: 2021-08-17
TIANJIN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Due to the variety of brands and models of similar appliances, the behaviors of different use

Method used

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  • Unsupervised non-intrusive load monitoring result autonomous labeling method
  • Unsupervised non-intrusive load monitoring result autonomous labeling method
  • Unsupervised non-intrusive load monitoring result autonomous labeling method

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Embodiment Construction

[0087] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments, but the following embodiments in no way limit the present invention.

[0088] like figure 2 As shown, the system for implementing the self-labeling method for unsupervised non-invasive load monitoring results of the present invention mainly includes functional modules: an independent labeling start module, an electrical appliance operating characteristic calculation module, an appliance name two-layer decision-making module, and a data storage Module, user interaction interface module, the five modules are executed in a certain order, and jointly complete the monitoring result labeling function. Each module is described below.

[0089] (1) The self-labeling start-up module is used to judge whether it is necessary to enter the main functional module of the subsequent NILM result self-labeling. In practical engineering applications, in order to ...

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Abstract

The invention discloses an unsupervised non-intrusive load monitoring result autonomous labeling method. The method comprises the following steps: reading load monitoring result data; judging whether the to-be-labeled electric appliance is subjected to result autonomous labeling or not; judging the control rule characteristic and the use rule characteristic of the to-be-labeled electric appliance; determining the name of the to-be-labeled electric appliance by adopting two layers of decisions, wherein the first layer of decision determines the candidate rough subset of the to-be-labeled electric appliance, and the second layer of decision determines the final name of the to-be-labeled electric appliance according to a parameter characteristic statistical result of the to-be-labeled electric appliance. After the names of all the to-be-labeled electric appliances generated in all the target scenes are labeled, a user can obtain the electric appliance names of all the to-be-labeled electric appliances in the target scenes in the visual interface, and whether the labeling result is accurate or not can be fed back through interpersonal interaction. According to the method, the NILM result can be automatically endowed with a physical name, the method can be used as a subsequent step of any unsupervised NILM method to be integrated with the NILM method, and then a completely unsupervised NILM scheme is formed and used for supporting various advanced applications expected by the NILM.

Description

technical field [0001] The invention belongs to the field of electric load information monitoring, and in particular relates to an unsupervised non-invasive load monitoring result autonomous labeling system and method. Background technique [0002] Non-intrusive Load Monitoring (NILM) is a cost-effective and detailed monitoring technology for load consumption [1] . It can obtain real-time working status (including start and stop time) and cumulative power consumption information of each electrical appliance in it only by analyzing the total load power consumption data. The obtained information can enable advanced applications such as fine-grained analysis of user behavior, advanced power marketization, and demand-side management (including response potential assessment, precise load regulation and response behavior verification, etc.), and promote smart grid [2] develop. [0003] According to the degree of "non-intrusive" 0 Different, NILM can be divided into supervised ...

Claims

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Application Information

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IPC IPC(8): H02J13/00
CPCH02J13/00002H02J2310/70Y04S20/242Y02B70/30
Inventor 刘博栾文鹏肖潇余贻鑫
Owner TIANJIN UNIV
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