A data storage method and device for power load classification application

A technology for power load and data storage, applied in data processing applications, character and pattern recognition, instruments, etc., can solve the problems of high storage space occupation, large data redundancy, large data recording volume, etc., to achieve storage space saving, The effect of high accuracy and convenient calculation

Active Publication Date: 2021-12-21
GLOBAL ENERGY INTERCONNECTION RES INST CO LTD +2
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AI Technical Summary

Problems solved by technology

[0003] The electricity load data are all numerical records, but the amount of data records is large, the records are intensive, the data redundancy is large, and the storage space is high. Its handling, storage, analysis and processing require large-capacity storage and high-performance computing platform support

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  • A data storage method and device for power load classification application
  • A data storage method and device for power load classification application
  • A data storage method and device for power load classification application

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Embodiment Construction

[0076] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0077] The embodiment of the present invention provides a data storage method oriented to the application of electric load classification, the specific flow chart is as follows figure 1 As shown, the method includes the following steps:

[0078] S101: Select wavelet basis functions to perform multi-resolution decomposition on the preprocessed electricity load data to obtain a set of candidate feature wavelet coefficients, and add label information to the preprocessed electricity load data;

[0079] S102: Selecting characteristic wavelet coefficients from the candidate characteristic wavelet coefficients obtained in S101, and establishing a characterization model of electricity load data;

[0080] S103: Using the power load data characterization model established in S102 to characterize the power load data;

[0081] S104: Store the user charge data after the...

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Abstract

The invention provides a data storage method and device oriented to the application of electric load classification. The method includes selecting a wavelet basis function to perform multi-resolution decomposition on the preprocessed electric load data to obtain a set of candidate feature wavelet coefficients, and the preprocessed Add label information to the electric load data; select the characteristic wavelet coefficients from the candidate feature wavelet coefficient set, and establish the characteristic model of electric load data; use the characteristic model of electric load data to characterize the electric load data; store the characteristic The processed user charge data. The present invention applies the advantages of wavelet transform to the feature extraction of electric load data, and maintains the original information while compressing and storing the data, which can bring strong support to subsequent applications such as electric load classification; The number of characteristic wavelet coefficients is adjusted, and the optimal and minimum characteristic wavelet coefficients are selected, which improves the efficiency of characterization of electric load data.

Description

technical field [0001] The invention relates to a data characterization technology, in particular to a data storage method and device for application of electric load classification. Background technique [0002] With the advent of the era of big data, organizations and enterprises from all walks of life regard data as an important resource for future development, and invest heavily in the research and development of data collection, transmission and storage technologies. For power grid enterprises, the large amount of data, various types, and high value have become the basic elements to promote the development of companies and society. [0003] Electricity load data are all numerical records, but the amount of data records is large, the records are intensive, the data redundancy is large, and the storage space is high. Its handling, storage, analysis and processing require large-capacity storage and high-performance computing platform support. Therefore, it is necessary to...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06Q50/06
CPCG06Q50/06G06F18/23213G06F18/2415
Inventor 赵婷张迪陈江琦黄复鹏潘新民
Owner GLOBAL ENERGY INTERCONNECTION RES INST CO LTD
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