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Method and apparatus for mining massive intelligent power consumption data based on cloud computing

A technology of data mining and intelligent power consumption, which is applied in the computer field, can solve the problems of low data mining efficiency and not being solved well, and achieve the effect of saving electricity potential and saving electricity

Active Publication Date: 2015-10-28
STATE GRID CORP OF CHINA +1
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But first of all, the problem of data storage, especially the storage of multiple data sources and massive power consumption data has not been well solved. Secondly, the efficiency of data mining is currently low. How to truly realize the parallel execution of data mining and improve mining efficiency , is a problem that needs to be solved

Method used

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  • Method and apparatus for mining massive intelligent power consumption data based on cloud computing
  • Method and apparatus for mining massive intelligent power consumption data based on cloud computing
  • Method and apparatus for mining massive intelligent power consumption data based on cloud computing

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Embodiment Construction

[0054] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0055] refer to figure 1 , is a flow chart of the cloud computing-based massive intelligent power consumption data mining method of the present invention, comprising the following steps:

[0056] Step A: Store the massive power consumption data generated by peripheral systems such as the power consumption information collection system, SG186 marketing business application system, intelligent community management system and enterprise energy management system into the distributed file system;

[0057] Step B: The user actively initiates a business request, the master node receives the request, and analyzes the business request. According to the actual situation, selects the slave nodes and mining algorithms that need to participate in mining, and assigns the tasks after dimension decomposition to the slave nodes;

[0058] Step C: Each slave no...

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Abstract

The present invention discloses a method and apparatus for mining massive intelligent power consumption data based on cloud computing. The method comprises the following steps of: storing massive power consumption data generated by a peripheral system in a distributed file system; a user actively initiating a service request, and a master node receiving the request and analyzing the service request, selecting slave nodes required to participate in mining and a mining algorithm according to an actual situation, and assigning tasks to the slave nodes after decomposition of dimension; and each slave node according to the assigned task, performing data storage and task execution, using the data mining algorithm selected by master node to perform a power consumption data mining task independently, and interacting with task management. The apparatus comprises a data management module, a task management module, a task execution module, a data storage module, a mining model library module and a data dimension model module. According to the method and apparatus for mining massive intelligent power consumption data based on cloud computing, power consumption information of massive users is efficiently mined, and forecast of power consumption of domestic consumers is achieved, so as to develop an optimal power consumption strategy.

Description

technical field [0001] The invention relates to the field of computers, in particular to a method and device for mining massive intelligent power consumption data based on cloud computing. Background technique [0002] Faced with the strong growth in electricity demand and increasingly tense electricity supply, as well as the ever-increasing tasks of energy conservation and emission reduction, the State Grid Corporation of China actively responded, accelerated the construction of a strong smart grid, deeply promoted the "two transformations", and actively built "three episodes and five majors" system. With the "full coverage" and "full collection" of user electricity consumption information, massive data will be obtained every day. These massive data not only fully reflect the user's electricity consumption, but also contain a lot of valuable information, covering the operating status of the power grid. , Electricity market dynamics, electric energy metering conditions, cus...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06Q50/06
CPCY02D10/00
Inventor 谭刚赵莉胡君何容陈俐冰
Owner STATE GRID CORP OF CHINA
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