Research on information analysis method of power engineering cost data based on affinity graph

The accurate analysis of the cost data of power grid project has important construction guiding significance.There are many analyses on the influence of power engineering cost. Therefore, a method of cost analysis of power engineering based on affinity graph is proposed in this paper. By weighting the factors that affect the cost of electric power engineering and classifying the weights of each factor, the method can effectively extract the main index factors that affect the cost of electric power engineering. In addition, the support vector machine (SVM) model is used to analyze and evaluate the cost data. The results show that the affinity graph method used in this study can effectively evaluate the cost of electric power engineering, and the algorithm can effectively simplify the human operation, and further improve the evaluation efficiency.

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Publication Details

Journal
IET conference proceedings.
Published
2024-12-01
DOI
https://doi.org/10.1049/icp.2024.4075
Primary Topic
Power Systems and Technologies
Type
article
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article

Research on information analysis method of power engineering cost data based on affinity graph

Yubao Wang, Huijing Zhai, Yanli Li
IET conference proceedings.
Power Systems and Technologies
article

Research on information analysis method of power engineering cost data based on affinity graph

Yubao Wang, Huijing Zhai, Yanli Li
article en

Abstract

The accurate analysis of the cost data of power grid project has important construction guiding significance.There are many analyses on the influence of power engineering cost. Therefore, a method of cost analysis of power engineering based on affinity graph is proposed in this paper. By weighting the factors that affect the cost of electric power engineering and classifying the weights of each factor, the method can effectively extract the main index factors that affect the cost of electric power engineering. In addition, the support vector machine (SVM) model is used to analyze and evaluate the cost data. The results show that the affinity graph method used in this study can effectively evaluate the cost of electric power engineering, and the algorithm can effectively simplify the human operation, and further improve the evaluation efficiency.

IET conference proceedings.Vol. 2024(20)
China Power Engineering Consulting Group (China) (CN), Shandong Electric Power Engineering Consulting Institute Corp (CN)
Openalex Percentile: Top 79%
Power Systems and Technologies
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