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Construction method of electric power material demand forecasting system and power material demand model

A technology for power materials and construction methods, applied in biological neural network models, predictions, neural learning methods, etc., can solve problems such as no explanation or report found, and data not yet collected, so as to improve the efficiency of material procurement, and improve services and products. horizontal effect

Active Publication Date: 2021-08-27
SOUTH CHINA UNIV OF TECH +3
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0006] At present, there is no description or report of the similar technology of the present invention, and no similar data at home and abroad have been collected yet.

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  • Construction method of electric power material demand forecasting system and power material demand model
  • Construction method of electric power material demand forecasting system and power material demand model
  • Construction method of electric power material demand forecasting system and power material demand model

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Embodiment Construction

[0064] The following is a detailed description of the embodiments of the present invention: this embodiment is implemented on the premise of the technical solution of the present invention, and provides detailed implementation methods and specific operation processes. It should be noted that those skilled in the art can make several modifications and improvements without departing from the concept of the present invention, and these all belong to the protection scope of the present invention.

[0065] The embodiment of the present invention provides a method for constructing a power material demand model, such as figure 1 shown, including:

[0066] S1, to obtain the whole process data of electric power materials;

[0067] S2, using the whole process data of power materials obtained in S1, using the combination of least squares support vector machine, echo state network and regularized extreme learning machine to construct a multi-level comprehensive power material demand fore...

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Abstract

The invention provides a method for constructing a power material demand model, including: S1, obtaining the whole process data of the power material; S2, using the data of the whole process of the power material obtained in S1, using the least squares support vector machine, the echo state network and Combining regularized extreme learning machines to construct a multi-level comprehensive power material demand forecasting model, including: S21, establishing a sample database; S22, using the least squares support vector machine to predict the power material demand; S23, using the echo The state network predicts the demand for power materials; S24, uses the regularized extreme learning machine to predict the demand for power materials; S25, combines the above prediction results and weights to obtain the final prediction result of the power material demand. At the same time, a power material demand forecasting system is provided, which includes the power material demand model constructed by the above method. The invention effectively improves the forward-looking property management of the power grid company, creates favorable conditions for the enterprise to extract and coordinate resources, and reduces the operating cost of the power grid enterprise while ensuring the reliability support of the power grid operation.

Description

technical field [0001] The invention relates to the technical field of power system material management, in particular to a power material demand forecasting system and a method for constructing a power material demand model. Background technique [0002] Electric power is the basic pillar industry of the national economy. The development of various industries and the growth of my country's economy are closely related to electric power. Once an accident occurs in a substation or a power transmission and distribution line, it will affect the stability of the power grid and cause a large-scale power outage, which will affect the reliability of power supply and cause users serious damage. Therefore, the normal construction and operation of the power grid is the basis for ensuring the normal life of the people and the normal activities of the country. [0003] Power materials are the basic guarantee in the process of power grid construction. The quality of their materials is not ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06G06N3/08G06K9/62
CPCG06Q10/04G06Q10/06315G06Q10/067G06Q50/06G06N3/084G06F18/2411G06F18/214
Inventor 代洲王钢邓超志边瑞恩
Owner SOUTH CHINA UNIV OF TECH
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