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STUDY ON COST-SHARING METHOD OF POWER GRID ENGINEERING OPERATION AND MAINTENANCE BASED ON DEMATEL METHOD AND RANDOM FOREST.

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Title: STUDY ON COST-SHARING METHOD OF POWER GRID ENGINEERING OPERATION AND MAINTENANCE BASED ON DEMATEL METHOD AND RANDOM FOREST.
Authors: HE PUYU1, ZHAO MENGZHU2, WANG QIAN2, YU GUANGXIU2, ZHAO KUIYUN2, WANG CHAO2
Source: Scalable Computing: Practice & Experience. May2025, Vol. 26 Issue 3, p1048-1056. 9p.
Subjects: Random forest algorithms, Elastic analysis (Engineering), Electricity pricing, Regression analysis, Tariff
Abstract: The transmission and distribution (T&D) tariff reform raises higher requirements for the control of operation and maintenance (O&M) cost in power grid engineering. By constructing a model analyzing the O&M cost influencing factors, the paper uses an elastic regression analysis and verifies the key influencing factors on O&M cost, including 14 items such as population size, electricity consumption, gross regional product (GRP). And the subjective and objective weights of each influencing factor are analyzed using the DEMATEL method and random forest. Finally, by calculating the combined weight of factors affecting the power grid O&M cost of each local municipal company, the method of O&M cost-sharing is proposed, which can effectively improve the efficiency of operation and maintenance and make the cost-sharing more balanced and reasonable. Through the empirical analysis, the feasibility of this method is proved, which provides an effective reference for the cost-sharing and control of power grid O&M. [ABSTRACT FROM AUTHOR]
Copyright of Scalable Computing: Practice & Experience is the property of Scalable Computing: Practice & Experience and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: STUDY ON COST-SHARING METHOD OF POWER GRID ENGINEERING OPERATION AND MAINTENANCE BASED ON DEMATEL METHOD AND RANDOM FOREST.
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  Data: <searchLink fieldCode="JN" term="%22Scalable+Computing%3A+Practice+%26+Experience%22">Scalable Computing: Practice & Experience</searchLink>. May2025, Vol. 26 Issue 3, p1048-1056. 9p.
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  Data: <searchLink fieldCode="DE" term="%22Random+forest+algorithms%22">Random forest algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Elastic+analysis+%28Engineering%29%22">Elastic analysis (Engineering)</searchLink><br /><searchLink fieldCode="DE" term="%22Electricity+pricing%22">Electricity pricing</searchLink><br /><searchLink fieldCode="DE" term="%22Regression+analysis%22">Regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Tariff%22">Tariff</searchLink>
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  Label: Abstract
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  Data: The transmission and distribution (T&D) tariff reform raises higher requirements for the control of operation and maintenance (O&M) cost in power grid engineering. By constructing a model analyzing the O&M cost influencing factors, the paper uses an elastic regression analysis and verifies the key influencing factors on O&M cost, including 14 items such as population size, electricity consumption, gross regional product (GRP). And the subjective and objective weights of each influencing factor are analyzed using the DEMATEL method and random forest. Finally, by calculating the combined weight of factors affecting the power grid O&M cost of each local municipal company, the method of O&M cost-sharing is proposed, which can effectively improve the efficiency of operation and maintenance and make the cost-sharing more balanced and reasonable. Through the empirical analysis, the feasibility of this method is proved, which provides an effective reference for the cost-sharing and control of power grid O&M. [ABSTRACT FROM AUTHOR]
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  Label:
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  Data: <i>Copyright of Scalable Computing: Practice & Experience is the property of Scalable Computing: Practice & Experience and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.12694/scpe.v26i3.4222
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        Text: English
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      – SubjectFull: Random forest algorithms
        Type: general
      – SubjectFull: Elastic analysis (Engineering)
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      – SubjectFull: Electricity pricing
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      – SubjectFull: Regression analysis
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              Text: May2025
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