Power supply reliability prediction method based on decision tree regression

A prediction method and reliability technology, applied in the direction of prediction, instrumentation, data processing applications, etc., can solve the problems of ignoring the complexity of data properties, tediousness, complex and difficult calculations, etc., to improve power reliability indicators and reduce economic losses , the effect of increasing income

Pending Publication Date: 2020-11-13
STATE GRID CORP OF CHINA +3
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  • Description
  • Claims
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Problems solved by technology

However, these quantification methods either do not fully consider the various influencing factors of power supply reliability, or ignore the complexity of the data nature of the power quality reliability index, or the model is complex and difficult to understand and the calculation is cumbersome, so they have certain limitations.

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  • Power supply reliability prediction method based on decision tree regression
  • Power supply reliability prediction method based on decision tree regression
  • Power supply reliability prediction method based on decision tree regression

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Embodiment Construction

[0025] The implementation of the present invention is described below with specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments.

[0026] see figure 1 , figure 1 It is a flow chart of steps of a method for predicting power supply reliability based on decision tree regression in an embodiment of the present invention. As shown in the figure, the power supply reliability prediction method based on decision tree regression includes the following steps:

[0027] S1. Formulate the reliability factor set steps, formulate the reliability factor set, start from the three major aspects of environmental factors, system characteristics, and user characteristics, and consider power consumption, upper-level main network grid structure, distribution network grid structu...

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Abstract

The invention relates to a power supply reliability prediction method based on decision tree regression. The power supply reliability prediction method based on decision tree regression comprises steps of a reliability factor set being formulated, and the reliability factor set being formulated; selecting a reliability index, namely selecting the reliability index; a data acquisition step of acquiring data of the reliability factor and the reliability index; a data cleaning step, classifying and screening the collected data; a data association analysis screening step, observing an associationrelationship between the reliability factor and each reliability index through a scatter diagram, and carrying out quantitative representation through a spearman association coefficient, thereby screening out a reliability factor set with strong correlation; a reliability prediction model construction step, constructing a reliability prediction model based on decision tree regression according tothe strongly related reliability factors; and a reliability prediction step, taking the predicted reliability factor as an input through a reliability prediction model so as to obtain a predicted reliability index.

Description

technical field [0001] The invention relates to a power supply reliability prediction method based on decision tree regression, in particular to a power supply reliability prediction method used for grid power reliability assessment. Background technique [0002] At present, with the development and construction of the power grid and the access of a large number of new users to the power grid, the power reliability problem has become cross-regional and complex. The traditional solution for evaluating the reliability of local power supply based on local monitoring data is no longer applicable to the modern power grid. development and new requirements for power supply reliability. The data involved in power supply reliability has evolved from traditional power data to power big data. Big data technology is used to analyze and model relevant power data, and predict power supply reliability, so as to realize pre-prediction, preventive measures, and effectively improve power reli...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06
Inventor 张建功胡庆辉田洪迅王宏刚许中平李金王婷胡栋梁康春婷魏雨桐
Owner STATE GRID CORP OF CHINA
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