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Power load prediction system and method based on big data

A technology of power load and forecasting method, applied in the field of power load forecasting system based on big data, can solve the problems of single negative analysis method, large analysis deviation, lack of automatic optimization, etc., to achieve the effect of optimizing the integration of information correlation

Active Publication Date: 2022-02-11
国网安徽省电力有限公司太湖县供电公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The current power load forecasting system has a single negative analysis method and lacks automatic optimization, which leads to large analysis deviations and affects the correct judgment of power dispatching

Method used

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  • Power load prediction system and method based on big data
  • Power load prediction system and method based on big data

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0030] A power load forecasting system based on big data, including a data model, a data acquisition module, an information integration module, an algorithm library, an associated value analysis module, and a real load database;

[0031] The output end of the data acquisition module is connected with the input end data of the information integration module, the output end of the information integration module is connected with the input end data of the data model, the input end of the data model is connected with the information of the algorithm library, and the output end of the data model is connected with the information of the algorithm library. The input terminal data connection of the correlation value analysis module, the output terminal of the real load database are connected with the data model and the input terminal data of the correlation value analysis module respectively, and the output terminal of the correlation value analysis module is connected with the input te...

Embodiment 2

[0048] A power load forecasting system based on big data, including a data model, a data acquisition module, an information integration module, an algorithm library, an associated value analysis module, and a real load database;

[0049] The output end of the data acquisition module is connected with the input end data of the information integration module, the output end of the information integration module is connected with the input end data of the data model, the input end of the data model is connected with the information of the algorithm library, and the output end of the data model is connected with the information of the algorithm library. The input terminal data connection of the correlation value analysis module, the output terminal of the real load database are connected with the data model and the input terminal data of the correlation value analysis module respectively, and the output terminal of the correlation value analysis module is connected with the input te...

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Abstract

The invention relates to the technical field of power load prediction, and discloses a power load prediction system and method based on big data. The invention has the advantages that deviation is analyzed through the training unit, a data model is trained, and the model and an algorithm are optimized; the data model outputs analysis data closest to real data to the correlation value analysis module; the association value analysis module calls the real load data of the real load database, compares the analysis data, analyzes the big data association degree, and obtains the data with the highest association degree; the information integration module obtains an analysis value of the association degree of the association value analysis module, and optimizes information association degree integration; the correlation degree of the integrated data and the electrical load is further improved during next prediction; the analysis reliability of the data model can be gradually improved through data analysis, so that the prediction deviation is reduced; and meanwhile, the reliability and the accuracy of data model prediction can be further improved by continuously improving the data association degree.

Description

technical field [0001] The invention relates to the technical field of power load forecasting, in particular to a big data-based power load forecasting system and method. Background technique [0002] Power load forecasting is a key part of power operation. In order to ensure stable power supply and reduce waste, load analysis can effectively guide power dispatching and power production. However, the current power load forecasting system still has the following problems in use: [0003] The current power load forecasting system has a single negative analysis method and lacks automatic optimization, which leads to large analysis deviations and affects the correct judgment of power dispatching. Contents of the invention [0004] (1) Solved technical problems [0005] Aiming at the deficiencies of the prior art, the present invention provides a power load forecasting system and method based on big data, which has the advantages of self-optimization and small deviation, and s...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06G06K9/62
CPCG06Q10/04G06Q50/06G06F18/214Y04S10/50
Inventor 汪树林汪政汪洁詹莲芳李春霞汪智鑫
Owner 国网安徽省电力有限公司太湖县供电公司