Intelligent evaluation method for power transmission and transformation quantities based on isolation forest and multi-layer perceptron
To evaluate quantities in power transmission and transformation projects， an intelligent evaluation method of quantity threshold based on isolated forest and multi-layer perceptron is proposed. Firstly， the Pearson correlation coefficient and permutation feature importance are applied to explore the...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
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zhejiang electric power
2023-08-01
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| Series: | Zhejiang dianli |
| Subjects: | |
| Online Access: | https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=59146d01-9e59-45a9-8786-53fbee10e7ce |
| _version_ | 1797733150629036032 |
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| author | ZHANG Bo YANG Yihan HU Xiliao JIANG Nichang |
| author_facet | ZHANG Bo YANG Yihan HU Xiliao JIANG Nichang |
| author_sort | ZHANG Bo |
| collection | DOAJ |
| description | To evaluate quantities in power transmission and transformation projects， an intelligent evaluation method of quantity threshold based on isolated forest and multi-layer perceptron is proposed. Firstly， the Pearson correlation coefficient and permutation feature importance are applied to explore the relationship between various quantities and related technical features and select the features. On this basis， a neural network predictive model is trained by using five-year historical data. Aiming at the problem that the historical data may contain a lot of noises， a data rationality selection method based on isolation forest is proposed and the accuracy of using the proposed to evaluate quantities is verified in test set. The case simulation shows that the proposed feature selection method can improve the evaluation accuracy of neural network. At the same time， the proposed method can provide both rough estimation and intelligent evaluation on the rationality of quantities and can automatically evaluate the quantity rationality for promoting the digital transformation of power grid infrastructure. |
| first_indexed | 2024-03-12T12:24:58Z |
| format | Article |
| id | doaj.art-b12347cce5494e64a14e69287d84e54a |
| institution | Directory Open Access Journal |
| issn | 1007-1881 |
| language | zho |
| last_indexed | 2024-03-12T12:24:58Z |
| publishDate | 2023-08-01 |
| publisher | zhejiang electric power |
| record_format | Article |
| series | Zhejiang dianli |
| spelling | doaj.art-b12347cce5494e64a14e69287d84e54a2023-08-30T00:46:03Zzhozhejiang electric powerZhejiang dianli1007-18812023-08-01428606710.19585/j.zjdl.2023080081007-1881（2023）08-0060-08Intelligent evaluation method for power transmission and transformation quantities based on isolation forest and multi-layer perceptronZHANG Bo0YANG Yihan1HU Xiliao2JIANG Nichang3Economic Research Institute of State Grid Zhejiang Electric Power Company, Hangzhou 310000, ChinaEconomic Research Institute of State Grid Zhejiang Electric Power Company, Hangzhou 310000, ChinaEconomic Research Institute of State Grid Zhejiang Electric Power Company, Hangzhou 310000, ChinaSchool of Software Technology, Zhejiang University, Hangzhou 310058, ChinaTo evaluate quantities in power transmission and transformation projects， an intelligent evaluation method of quantity threshold based on isolated forest and multi-layer perceptron is proposed. Firstly， the Pearson correlation coefficient and permutation feature importance are applied to explore the relationship between various quantities and related technical features and select the features. On this basis， a neural network predictive model is trained by using five-year historical data. Aiming at the problem that the historical data may contain a lot of noises， a data rationality selection method based on isolation forest is proposed and the accuracy of using the proposed to evaluate quantities is verified in test set. The case simulation shows that the proposed feature selection method can improve the evaluation accuracy of neural network. At the same time， the proposed method can provide both rough estimation and intelligent evaluation on the rationality of quantities and can automatically evaluate the quantity rationality for promoting the digital transformation of power grid infrastructure.https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=59146d01-9e59-45a9-8786-53fbee10e7cepower transmission and transformation quantitiesrationality thresholdisolation forestmulti-layer perceptron networkpearson correlation coefficientridge regressionpermutation feature importanceautomated assessment |
| spellingShingle | ZHANG Bo YANG Yihan HU Xiliao JIANG Nichang Intelligent evaluation method for power transmission and transformation quantities based on isolation forest and multi-layer perceptron Zhejiang dianli power transmission and transformation quantities rationality threshold isolation forest multi-layer perceptron network pearson correlation coefficient ridge regression permutation feature importance automated assessment |
| title | Intelligent evaluation method for power transmission and transformation quantities based on isolation forest and multi-layer perceptron |
| title_full | Intelligent evaluation method for power transmission and transformation quantities based on isolation forest and multi-layer perceptron |
| title_fullStr | Intelligent evaluation method for power transmission and transformation quantities based on isolation forest and multi-layer perceptron |
| title_full_unstemmed | Intelligent evaluation method for power transmission and transformation quantities based on isolation forest and multi-layer perceptron |
| title_short | Intelligent evaluation method for power transmission and transformation quantities based on isolation forest and multi-layer perceptron |
| title_sort | intelligent evaluation method for power transmission and transformation quantities based on isolation forest and multi layer perceptron |
| topic | power transmission and transformation quantities rationality threshold isolation forest multi-layer perceptron network pearson correlation coefficient ridge regression permutation feature importance automated assessment |
| url | https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=59146d01-9e59-45a9-8786-53fbee10e7ce |
| work_keys_str_mv | AT zhangbo intelligentevaluationmethodforpowertransmissionandtransformationquantitiesbasedonisolationforestandmultilayerperceptron AT yangyihan intelligentevaluationmethodforpowertransmissionandtransformationquantitiesbasedonisolationforestandmultilayerperceptron AT huxiliao intelligentevaluationmethodforpowertransmissionandtransformationquantitiesbasedonisolationforestandmultilayerperceptron AT jiangnichang intelligentevaluationmethodforpowertransmissionandtransformationquantitiesbasedonisolationforestandmultilayerperceptron |