Load release characteristic influence factor analysis method

A technology of influencing factors and analysis methods, applied in data processing applications, forecasting, instruments, etc., can solve the problems of large data volume and low data processing efficiency, and achieve the effect of comprehensive and accurate data, flexible use and high precision

Inactive Publication Date: 2019-07-16
HUAZHONG UNIV OF SCI & TECH +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The invention provides an analysis method of influencing factors of load release characteristics, which is used to solve the technical problem of low data processing efficiency caused by large amount of data in the existing analysis of influencing factors of load release characteristics

Method used

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  • Load release characteristic influence factor analysis method
  • Load release characteristic influence factor analysis method
  • Load release characteristic influence factor analysis method

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0044] A factor analysis method 100 for load release characteristics, such as figure 1 shown, including:

[0045] Step 110, collecting the first power data of the power supply area and its influencing factor information, and the influencing factor information constitutes the first influencing factor group;

[0046] Step 120, using the Python language to clean the first power data and the first influencing factor group to obtain the second power data and the second influencing factor group;

[0047] Step 130, based on the rough set theory, determine the main influencing factors of the second electric power data from the second influencing factor group.

[0048] It should be noted that a number of representative community samples in the city can be selected from the seven dimensions of residential community location, completion time, floor area ratio, occupancy rate, commercial-residential ratio, resident composition, and building area, as the samples to be studied. For the po...

Embodiment 2

[0108] A storage medium, in which instructions are stored, and when a computer reads the instructions, the computer is made to execute any method for analyzing factors affecting load release characteristics in Embodiment 1.

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Abstract

The invention relates to a load release characteristic influence factor analysis method, which comprises the following steps: collecting first power data and a plurality of influence factors thereof in a power supply area, and forming a first influence factor group by the plurality of influence factors; based on the Python language, cleaning the first power data and the first influence factor group to obtain second power data and a second influence factor group; and determining a main influence factor of the second power data from the second influence factor group based on the rough set theory. The method is based on big data research, and utilizes the rough set theory to research the influence of the relevant index data of each cell on the electrical load change of the cell. On one hand,various data indexes of a researched area are collected, a python language is used for cleaning data, big data summarization is obtained, and the flexibility of big data mining and the data processingefficiency are improved; and on the other hand, main influence factors are selected from all the factors based on the rough set theory, the accuracy is high, and the application prospect is good.

Description

technical field [0001] The invention relates to the technical field of load release characteristics, in particular to an analysis method for influencing factors of load release characteristics. Background technique [0002] Spatial load forecasting refers to the prediction of the size and location of the future power load in the power supply area, or the prediction of the spatial and temporal distribution of power load in the specified area. Spatial load forecasting is one of the basic tasks of power system planning. According to the forecasted results, the capacity and optimal location of power supply equipment should be determined, which can improve the economy, efficiency and reliability of power system construction. Among them, the study of load release characteristics is one of the research contents of space load forecasting. [0003] The load release characteristic refers to the relationship between the load change with time in the process of putting the power-consumi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06
CPCG06Q10/04G06Q10/06393G06Q50/06
Inventor 宋珂张博蔡之飞李妍张旭军祝智杭刘一鸣王标刘安迪
Owner HUAZHONG UNIV OF SCI & TECH
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