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Power customer online grouping method based on mass measurement data

A technology for metering data and power users, applied in data processing applications, electrical digital data processing, special data processing applications, etc., can solve problems such as labor-intensive, time-consuming, difficult to process, and large amount of metering data

Inactive Publication Date: 2013-03-20
ELECTRIC POWER RES INST OF GUANGDONG POWER GRID
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

The amount of measurement data is large, and it is difficult to use traditional data mining algorithms to deal with it. If algorithms are used to mine small data to speculate on big data, people will often go astray, and it is laborious and time-consuming to implement

Method used

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  • Power customer online grouping method based on mass measurement data
  • Power customer online grouping method based on mass measurement data
  • Power customer online grouping method based on mass measurement data

Examples

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Embodiment Construction

[0057] Such as Figure 1 to Figure 4 A method for online grouping of power customers based on massive metering data is shown, including the following steps:

[0058] Step 1: Extract historical sample data of power users;

[0059] In order to realize a clustering and grouping based on the electricity consumption characteristics of large customers, the present invention needs to extract some data that can reflect the electricity consumption characteristics of customers from the metering automation system and marketing management system, so in addition to customer file data, it is also necessary to extract customer electricity consumption class data, customer load class data, including:

[0060] Customer file information: metering point number, electricity category, industry category, voltage level, etc.

[0061] Customer power consumption information: total power consumption, peak power consumption, flat power consumption, valley power consumption, etc.

[0062] Customer load...

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Abstract

The invention discloses a power customer online grouping method based on mass measurement data. The power customer online grouping method includes step1 extracting historical sample data of power customers; step2 preprocessing extracted sample data; step3 conducting initial customer grouping on the historical sample data of the power customer; step4 extracting user information of online power customers in real time from a metering automatic system and reflecting real-time power utilization data reflecting power utility characteristics of the online power customers and conducting preprocessing; step5 acquiring preprocessed online power customer data and utilizing generated cluster center points to conduct online real-time grouping on newly increased online customer user data on the base of the generated customer groups. The method is capable of conducting dynamic grouping calculation of all the power customers.

Description

technical field [0001] The invention relates to a method for grouping electric power customers in the electric power industry, in particular to an online grouping method for electric power customers based on massive metering data. Background technique [0002] In terms of power marketing, we often encounter such problems: how to do a good job in power consumption guidance for peak shifts, power failures, planned power outages, and emergency services during power outages? How to do scientific and flexible peak shifting for peak shifting users? How to ensure timely delivery of peak shift and planned outage information for sensitive customers, high-value customers, and high-reputation customers? All of these problems require an effective method for grouping electricity consumers. [0003] Traditional power customer grouping mainly adopts static method, generally using static attribute data of power customers. Or monthly power data, the amount of data is very small, and once ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/06G06F17/30
Inventor 刘涛杨劲锋阙华坤肖勇孙卫明陈启冠王和栋张良均
Owner ELECTRIC POWER RES INST OF GUANGDONG POWER GRID
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