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Data mining method of neural network based on nearest neighbor clustering

A neural network and data mining technology, applied in the field of neural network data mining, can solve problems such as long learning time and complex network

Inactive Publication Date: 2016-10-12
GUANGZHOU POWER SUPPLY CO LTD +1
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AI Technical Summary

Problems solved by technology

This method mainly solves the problems of complex network and long learning time in the process of neural network data mining, and ensures the best power system data mining effect

Method used

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  • Data mining method of neural network based on nearest neighbor clustering
  • Data mining method of neural network based on nearest neighbor clustering
  • Data mining method of neural network based on nearest neighbor clustering

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Embodiment Construction

[0027] The embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings: This embodiment provides detailed implementation methods and specific implementation processes, but the protection scope of the present invention is not limited to the following embodiments.

[0028] The data sources of the power system data warehouse mainly come from the energy management system (EMS) of the power system, electricity business data, geographic information system, etc. The EMS system saves the operation mode of the power grid, real-time operation parameters into the whole network load, power flow distribution, central voltage, system frequency, etc.; electricity business data includes user information, electricity sales, electricity price, metering and other data; geographic information system includes users, Geographic location information of electrical equipment; other data sources include economic conditions, weather conditions, man...

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Abstract

The invention discloses a data mining method of the neural network based on nearest neighbor clustering. An improved nearest neighbor clustering learning algorithm is used to train the neural network, so that on the premise that the precision requirement is met, the number of nodes of a hidden layer is reduced, the network structure is simplified, the learning speed of the neural network is increased, and the learning efficiency and precision of the neural network are further improved; and further data mining is carried out on the neural network, and the mining efficiency for a database of a large practical power system via the neural network is further improved. The data mining method aims at ensuring the safe, stable, high-quality and economical operation of the power system, and satisfying higher requirements for mass data of the digital power system and reliability, consistency and sharing performance of data.

Description

technical field [0001] The invention relates to a data mining method applied to relevant information of a power system, in particular to a neural network data mining method using a nearest neighbor clustering algorithm to train a neural network, and the invention belongs to the field of power system data analysis. Background technique [0002] With the rapid development of the power industry and the popularization of information technology and computer technology in the power system, digital technology has been widely used in recent years, and power informationization - digital power system has emerged. Online real-time monitoring system, trading system, geographic information management system, fault diagnosis, various offline analysis calculation and planning systems, as well as daily transaction processing, communication and energy management systems of electric power enterprises have been widely used in electric power enterprises. However, the power system is a large dyn...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06
CPCG06Q10/063G06Q50/06
Inventor 刘育权胡剑锋莫文雄潘玉春陆国俊唐晓莉王勇张高峰
Owner GUANGZHOU POWER SUPPLY CO LTD
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