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Power marketing aid decision-making method and system based on association rule mining

A technology for power marketing and decision-making assistance, which is applied in marketing, power digital data processing, market data collection, etc. It can solve problems such as data exchange, storage, display and processing that cannot cope with massive data, performance that is not up to standard, and big data. Achieve the effect of solving insufficient memory utilization, solving large magnitude differences, and improving efficiency

Pending Publication Date: 2022-03-25
国网浙江省电力有限公司营销服务中心
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the existing power system platform is very difficult to deal with big data, and cannot cope with massive data in terms of data exchange, storage, display and processing.
Moreover, the expensive power information system platform still has problems such as high cost and substandard performance

Method used

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  • Power marketing aid decision-making method and system based on association rule mining
  • Power marketing aid decision-making method and system based on association rule mining
  • Power marketing aid decision-making method and system based on association rule mining

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0049] figure 1 It shows a flow chart of an embodiment of the electric power marketing assistant decision-making method based on association rule mining in the present invention. exist figure 1 , including:

[0050] A power marketing auxiliary decision-making method based on association rule mining, comprising the following steps:

[0051] Step S1: Click the control page in the control interface to request to obtain the content in the selected control page;

[0052] Step S2: In the Spark platform, use the RDD parallel programming model to clean and extract the original power marketing data, realize data preprocessing, use the FFP-Growth algorithm to mine the association rules of the data preprocessing results, and The generated association rules are screened and evaluated, and the content obtained by the request is output;

[0053] Step S3: Use the SOAP protocol to remotely call and output the obtained content of the request, and the control interface parses the obtained c...

Embodiment 2

[0085] Such as Figure 10 as shown, Figure 10 It is an auxiliary decision-making system for electric power marketing based on association rule mining provided by this application. It includes a client and a server, and communicates with each other through the SOAP Simple Object Transfer Protocol. Specifically: B / S architecture is adopted, and Web browsing As the client, the server is responsible for user interaction. The server is built on the open source cloud computing platform Spark, and the web content inside is deployed and published on tomcat. The SOAP simple object transfer protocol is used for communication between the browser and the server.

[0086] Specifically, the client: responsible for the interaction between the user and the system, is the external interface of the system, used to process the input of the client, and display the input content on the interface in a graphical manner.

[0087] Specifically, the interaction layer in the client includes: (1), busi...

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Abstract

The invention discloses an association rule mining-based power marketing aid decision-making method and system. According to the technical scheme, the method comprises the steps that needed content is clicked in a control interface, the content in the control interface is requested to be acquired and selected, original power marketing data is cleaned and extracted in a Spark platform by applying an RDD parallel programming model, the data is preprocessed through Z-score standardization and an FCM clustering algorithm, and the data is stored in a database. A sparse matrix storage method is introduced on the basis of an association rule mining technology, an improved FFP-Growth algorithm is used for carrying out association rule mining on preprocessed data, a mining result is screened and evaluated, content requested to be obtained is output, the output content is called by using an SOAP protocol, and an interface is controlled to analyze and display the obtained content. And therefore, the problem of marketization requirements of electric power marketing development can be solved.

Description

technical field [0001] The invention relates to the technical field of electric power marketing data mining, in particular to an auxiliary decision-making method and system for electric power marketing based on association rule mining. Background technique [0002] Due to the rapid development of my country's electric power enterprises in recent years, the electric power industry has entered a critical period of market-oriented reform, and a new mechanism with the market as the vane has gradually been formed in the reform, focusing on marketing within the electric power enterprise, and treating customers Service-based. [0003] However, with the development of digitization and intelligence of the power grid, data presents a trend of explosive growth, which makes it more difficult for decision makers to make judgments. A large amount of data will paralyze the old data analysis system in the past, and it will not be able to discover the decision-making information hidden in th...

Claims

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Application Information

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IPC IPC(8): G06F16/2458G06F16/2455G06K9/62G06Q30/02G06Q50/06
CPCG06F16/2465G06F16/24564G06Q50/06G06Q30/0201G06F18/23
Inventor 王庆娟丁麒杨世旺楼斐杨柳欣金王英沈然孙钢谷泓杰鲁鹏周显锞胡爽
Owner 国网浙江省电力有限公司营销服务中心
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