A method for detecting abnormal electricity prices at charging stations based on two rounds of clustering
Due to the complexity of electricity pricing policies, multiple implementation steps, and difficulty in regulation, errors in electricity pricing implementation occur from time to time. This not only damages the fairness and efficiency of the electricity market but also affects the economic benefits...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2025-01-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2025004/ |
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| _version_ | 1823864706668953600 |
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| author | XUE Xiaohui ZHANG Wen ZHANG Jing CHEN Yan ZHOU Chun CHEN Liang CAO Zengwei |
| author_facet | XUE Xiaohui ZHANG Wen ZHANG Jing CHEN Yan ZHOU Chun CHEN Liang CAO Zengwei |
| author_sort | XUE Xiaohui |
| collection | DOAJ |
| description | Due to the complexity of electricity pricing policies, multiple implementation steps, and difficulty in regulation, errors in electricity pricing implementation occur from time to time. This not only damages the fairness and efficiency of the electricity market but also affects the economic benefits of power enterprises and the electricity costs of users. A method was proposed for detecting electricity price anomalies at charging stations based on secondary clustering. Firstly, the electricity price anomalies were classified and the electricity consumption characteristics were analyzed. Secondly,the <italic>K</italic>-means clustering algorithm was used to extract electric vehicle users. Then, in the second clustering, the density-based spatial clustering of applications with noise (DBSCAN) algorithm was used to accurately identify more complex default situations,such as high price and low connection. The proposed method improves the accuracy and efficiency of electricity price implementation through two rounds of cluster analysis, and has certain theoretical significance and application value. |
| format | Article |
| id | doaj-art-aaed59abc20242a5a5a372e3de3b2050 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2025-01-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-aaed59abc20242a5a5a372e3de3b20502025-02-08T19:00:23ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012025-01-014118419082011729A method for detecting abnormal electricity prices at charging stations based on two rounds of clusteringXUE XiaohuiZHANG WenZHANG JingCHEN YanZHOU ChunCHEN LiangCAO ZengweiDue to the complexity of electricity pricing policies, multiple implementation steps, and difficulty in regulation, errors in electricity pricing implementation occur from time to time. This not only damages the fairness and efficiency of the electricity market but also affects the economic benefits of power enterprises and the electricity costs of users. A method was proposed for detecting electricity price anomalies at charging stations based on secondary clustering. Firstly, the electricity price anomalies were classified and the electricity consumption characteristics were analyzed. Secondly,the <italic>K</italic>-means clustering algorithm was used to extract electric vehicle users. Then, in the second clustering, the density-based spatial clustering of applications with noise (DBSCAN) algorithm was used to accurately identify more complex default situations,such as high price and low connection. The proposed method improves the accuracy and efficiency of electricity price implementation through two rounds of cluster analysis, and has certain theoretical significance and application value.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2025004/charge pileabnormal execution of electricity pricescluster analysisoutlier detectionhigh price and low acceptance |
| spellingShingle | XUE Xiaohui ZHANG Wen ZHANG Jing CHEN Yan ZHOU Chun CHEN Liang CAO Zengwei A method for detecting abnormal electricity prices at charging stations based on two rounds of clustering Dianxin kexue charge pile abnormal execution of electricity prices cluster analysis outlier detection high price and low acceptance |
| title | A method for detecting abnormal electricity prices at charging stations based on two rounds of clustering |
| title_full | A method for detecting abnormal electricity prices at charging stations based on two rounds of clustering |
| title_fullStr | A method for detecting abnormal electricity prices at charging stations based on two rounds of clustering |
| title_full_unstemmed | A method for detecting abnormal electricity prices at charging stations based on two rounds of clustering |
| title_short | A method for detecting abnormal electricity prices at charging stations based on two rounds of clustering |
| title_sort | method for detecting abnormal electricity prices at charging stations based on two rounds of clustering |
| topic | charge pile abnormal execution of electricity prices cluster analysis outlier detection high price and low acceptance |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2025004/ |
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