Method for processing electricity consumption data of consumers

A technology of electricity consumption data and users, applied in the field of electric power, can solve problems such as lack of processing solutions, and achieve the effect of improving accuracy and applicability

Active Publication Date: 2013-12-11
STATE GRID CORP OF CHINA +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For these valuable user power consumption data, there is still a lack of an effective processing scheme to help quantitative analysis of power consumption optimization

Method used

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  • Method for processing electricity consumption data of consumers
  • Method for processing electricity consumption data of consumers
  • Method for processing electricity consumption data of consumers

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Embodiment 1

[0053] figure 1 It is a flowchart of a method in Embodiment 1 of the present invention. This embodiment discloses a method for processing user electricity data, the method comprising:

[0054] S101. Obtain electricity consumption characteristics of each user. With the development of information technology, a large amount of user electricity consumption data can be collected. In order to make full use of these electricity consumption data, this embodiment proposes the concept of user electricity consumption characteristics. The user's electricity consumption characteristics are the basis of the present invention. As the name implies, it can be understood as some indicators and data reflecting the user's electricity consumption characteristics. For example, the electricity consumption characteristics can include one or more of the following items: industry, production shift, maximum load, load rate , average electricity price, capacity load ratio, etc.

[0055] S102. Perform ...

Embodiment 2

[0063] figure 2 It is a flow chart of the method in Embodiment 2 of the present invention. This embodiment is based on the first embodiment and is a further refinement of the first embodiment. In this embodiment, for step S102, clustering is performed according to the electricity consumption characteristics of each user to obtain multiple clusters, and the following preferred methods can be adopted during specific implementation:

[0064] S1021. Establish an initial fuzzy fuzzy matrix with the electricity consumption characteristics of each user as a vector. Suppose the sample set N contains k objects (one object is one user) n 1 , n 2 ,...,n k , and each object has m attributes (one attribute is an item in the user's electricity consumption characteristics, and each item in a user's electricity consumption characteristics forms a vector), and all vectors form N k×m matrix whose elements can be specified by x ij Indicates that i=1,2,...,k, j=1,2,...,m.

[0065] S1022. ...

Embodiment 3

[0072] This embodiment is based on the first embodiment and is a further refinement of the first embodiment. In this embodiment, for step S105, which is to obtain the peer benchmarking index of the target user according to the industry index of the target user's industry and the cluster index of the target cluster, the following preferred methods can be adopted during specific implementation:

[0073] by the following formula

[0074] x i =α×x ui +(1-α)×x ci (α∈[0,1])

[0075] Obtain the peer benchmarking index of the target user, where x ui is the i-th item in the industry index, x ci is the i-th item in the cluster index, x i is the i-th item in the peer benchmarking index, and α is used to adjust x ui and x ci , so that the industry index and the cluster index can correct each other.

[0076] In addition, when the total number of users |C| in the target user's cluster accounts for a minority in the total number of users |N| The situation is more inclined to compa...

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Abstract

The embodiment of the invention discloses a method for processing electricity consumption data of consumers. The method comprises the following steps: acquiring electricity consumption features of each consumer, an then clustering the consumers according to the electricity consumption features of each consumer, so as to acquire a plurality of clusters; acquiring the objective cluster in which the objective consumer is located; acquiring a cluster index of the objective cluster; according to an industry index of the industry in which the objective consumer is located and the cluster index of the objective cluster, acquiring the same industry benchmarking index of the objective consumer, and thus optimizing the electricity consumption of the objective consumer according to the same industry benchmarking index. According to the embodiment of the invention, the electricity consumption features of each consumer are extracted from the electricity consumption data of the consumers and then clustered, so that accurate positioning of the personal features of the objective consumer is realized; by virtue of acquiring the same industry benchmarking index of the objective consumer, comprehensive comparison is performed on the objective consumer, other similar consumers and related industry indexes, so that quantitative evaluation can be better performed on an optimized electricity consumption scheme during subsequent processing, and the accuracy and applicability of optimized electricity consumption can be improved effectively.

Description

technical field [0001] Embodiments of the present invention generally relate to the electric power field, and in particular, relate to a method for processing user electricity consumption data. Background technique [0002] High-energy-consuming enterprises generally consume a lot of electricity during production. At present, most enterprises have not optimized the power consumption process, which increases the production cost of the enterprise, reduces the profit of the enterprise, and does not comply with the national energy-saving and emission-reduction policy. In the existing technology, the optimization of power consumption mainly depends on the customer manager of the power department to conduct customer visits and sample surveys. Based on factors such as user average electricity price and load rate, the power consumption situation of enterprises is manually analyzed to obtain suggestions for optimizing power consumption. This method not only has a lot of subjective fa...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06
Inventor 罗卓伟韩璐赵丙镇庄自超程杰徐冬生
Owner STATE GRID CORP OF CHINA
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