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Spearman rank correlation self-adaption classification method for electric power system cross-specialty monitoring indexes

A power system and rank-related technology, applied in the field of power system monitoring, can solve problems such as the inability to effectively analyze cross-departmental data, and achieve the effect of maximizing benefits and assisting decision-making

Active Publication Date: 2015-10-07
菏泽建数智能科技有限公司
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Problems solved by technology

[0004] In order to overcome the inadequacy of existing power system monitoring methods that cannot effectively analyze cross-departmental data, the present invention provides a Spearman rank correlation automatic method for effectively analyzing cross-departmental data and maximizing benefits for power system cross-professional monitoring indicators. Adapt to the classification method

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  • Spearman rank correlation self-adaption classification method for electric power system cross-specialty monitoring indexes
  • Spearman rank correlation self-adaption classification method for electric power system cross-specialty monitoring indexes

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Embodiment Construction

[0027] The present invention will be further described below in conjunction with the accompanying drawings.

[0028] refer to figure 1 with figure 2 , a Spearman rank correlation adaptive classification method for cross-specialty monitoring indicators of power systems, including the following steps:

[0029] Step 1: Extract n index data of the same quarter from m databases of different specialties.

[0030] Step 2: Classify and number the indicators from different professions, and add the data to the set XS={x ij |i=1,2...mj=1,2...n}, x ij That is, the index data of the j-th quarter in the i-th major.

[0031] Step 3: Randomly select two majors e and f from the m majors.

[0032] Step 4: Choose an indicator a from major e, and choose an indicator b from major f.

[0033] Step 5: Calculate the Spearman rank correlation coefficient calculation for the two cross-professional indicators. Let C(u, v) be the Copula rank value calculation function, where parameter u and parame...

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Abstract

A spearman rank correlation self-adaption classification method for electric power system cross-specialty monitoring indexes adopts a Spearman rank correlation coefficient to calculate, calculates and analyzes trans-department data, performs classification according to grading ranking, calculates threshold values of correlation coefficients of all index pairs, screens out all index pairs that are larger than the threshold values, and thus can automatically obtain representative cross-specialty index pairs. The Spearman rank correlation self-adaption classification method for the electric power system cross-specialty monitoring indexes provided by the invention effectively analyzes trans-department data and maximizes benefits.

Description

technical field [0001] The invention relates to the field of power system monitoring, in particular to a Spearman rank correlation self-adaptive classification method for cross-specialty monitoring indicators of a power system. Background technique [0002] With the rapid changes in the external operating environment of power grid companies, power grid companies are facing the unfavorable situation of declining social electricity consumption growth and slowing revenue growth. Therefore, power grid enterprises need to conduct a comprehensive and comprehensive analysis of the company's operating conditions from the perspective of sustainable development of the company, and discover the shortcomings of the company's capabilities in the operation, so that decision makers can formulate corresponding strategies to eliminate the shortcomings of capabilities . At the same time, in the daily dynamic operation process, it is also necessary to be able to continuously and quickly disco...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/06
Inventor 蒋一波盛尚浩楼弘郑建炜
Owner 菏泽建数智能科技有限公司
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