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Power grid enterprise investment capability prediction system based on self-organizing data mining and working method thereof

A data mining and forecasting system technology, applied in forecasting, data processing applications, market data collection, etc., can solve problems such as lack of scalability, difficult to achieve performance, and insufficient forecasting accuracy of investment capabilities, and achieves improved accuracy and accuracy. Robustness, cost reduction, and productivity gains

Pending Publication Date: 2022-01-11
STATE GRID FUJIAN POWER ELECTRIC CO ECONOMIC RES INST +1
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  • Description
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Problems solved by technology

[0003] At this stage, there are several deficiencies in the prediction of the investment capacity of power grid enterprises in the following aspects: On the one hand, the financial indicators or influencing factor indicators constructed are not systematic and comprehensive, and do not have scalability
On the other hand, the prediction accuracy of investment capacity is not enough, and it is difficult to achieve better performance

Method used

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  • Power grid enterprise investment capability prediction system based on self-organizing data mining and working method thereof
  • Power grid enterprise investment capability prediction system based on self-organizing data mining and working method thereof
  • Power grid enterprise investment capability prediction system based on self-organizing data mining and working method thereof

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Embodiment Construction

[0038] In order to make the features and advantages of this patent more obvious and easy to understand, the following special examples are described in detail as follows:

[0039] The power grid enterprise investment capability prediction system based on self-organizing data mining proposed in this embodiment is developed based on a computer system, including: a memory, a processor, and a computer program that is stored in the memory and can run on the processor; wherein, as the main design The computer program of the point includes: a variable selection module, a sample set generation module, a function relationship establishment module, an objective function selection module, an intermediate model generation module, an intermediate model screening module, a reproduction and reselection module and an output module.

[0040] Among them, the variable selection module is used to select a number of factors that affect the investment ability of power grid enterprises as independent...

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Abstract

The invention provides a power grid enterprise investment capability prediction system based on self-organizing data mining and a working method thereof, and the system is characterized in that the system comprises a memory, a processor, and a computer program which is stored in the memory and can be operated on the processor; the computer program comprises a variable selection module, a sample set generation module, a function relationship establishment module, a target function selection module, an intermediate model generation module, an intermediate model screening module, a regeneration and reselection module and an output module. The operability and flexibility of a computer system are fully utilized, and efficient output of the prediction model is achieved.

Description

technical field [0001] The invention belongs to the technical field of electrical engineering and computer software for auxiliary economic research, and in particular relates to a power grid enterprise investment capability prediction system based on self-organizing data mining and a working method thereof. Background technique [0002] There are problems such as excessive investment and ineffective investment in power grid enterprises. Traditional power grid enterprise investment capacity forecasting uses financial indicators, economic indicators and other influencing factors to construct a forecasting index system. The forecasting methods are mainly classified into the following two categories: one is to establish an econometric model and calculate the investment capacity of power grid enterprises based on basic financial operating data; It is to establish an index system of relevant influencing factors, and predict the investment capacity of power grid enterprises through...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q30/02G06Q50/06
CPCG06Q10/04G06Q10/06393G06Q30/0201G06Q50/06Y04S10/50Y04S50/14
Inventor 洪居华刘林丁智华唐自强林可尧张林垚胡臻达黄夏楠杨丝雨
Owner STATE GRID FUJIAN POWER ELECTRIC CO ECONOMIC RES INST
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