Construction and application of the identification model of average electricity selling price anomaly based on the DBSCAN algorithm
With the advancement of the market-oriented reform of electricity， a new trend of pluralistic market entities and diversified interest demands has emerged in the power reform. In order to solve the problem of a high average price level of electricity sold in the electricity market and the rising cos...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
zhejiang electric power
2023-04-01
|
| Series: | Zhejiang dianli |
| Subjects: | |
| Online Access: | https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=9bb5a8a2-d159-4b0f-a756-c42082abfb1e |
| _version_ | 1797833238504275968 |
|---|---|
| author | YANG Yuqiang HU Ruoyun |
| author_facet | YANG Yuqiang HU Ruoyun |
| author_sort | YANG Yuqiang |
| collection | DOAJ |
| description | With the advancement of the market-oriented reform of electricity， a new trend of pluralistic market entities and diversified interest demands has emerged in the power reform. In order to solve the problem of a high average price level of electricity sold in the electricity market and the rising cost of electricity for some customers， the intelligent analysis of average electricity selling price anomaly of electricity selling companies is conducted first， and an analysis model for market-oriented average electricity price anomaly of retail users with electricity sales company as their agent is built. The DBSCAN clustering algorithm is used to locate retail users with electricity price anomaly， intelligently divide different groups of customers with the anomaly and conduct traceability analysis so that power grid enterprises can proactively serve customers， reduce costs， assist government decision-making， and promote market-oriented reform of electricity. |
| first_indexed | 2024-04-09T14:20:06Z |
| format | Article |
| id | doaj.art-e7a4e28777164a0a82bf0f69a3d01aa5 |
| institution | Directory Open Access Journal |
| issn | 1007-1881 |
| language | zho |
| last_indexed | 2024-04-09T14:20:06Z |
| publishDate | 2023-04-01 |
| publisher | zhejiang electric power |
| record_format | Article |
| series | Zhejiang dianli |
| spelling | doaj.art-e7a4e28777164a0a82bf0f69a3d01aa52023-05-05T00:41:08Zzhozhejiang electric powerZhejiang dianli1007-18812023-04-01424727810.19585/j.zjdl.2023040091007-1881（2023）04-0072-07Construction and application of the identification model of average electricity selling price anomaly based on the DBSCAN algorithmYANG YuqiangHU RuoyunWith the advancement of the market-oriented reform of electricity， a new trend of pluralistic market entities and diversified interest demands has emerged in the power reform. In order to solve the problem of a high average price level of electricity sold in the electricity market and the rising cost of electricity for some customers， the intelligent analysis of average electricity selling price anomaly of electricity selling companies is conducted first， and an analysis model for market-oriented average electricity price anomaly of retail users with electricity sales company as their agent is built. The DBSCAN clustering algorithm is used to locate retail users with electricity price anomaly， intelligently divide different groups of customers with the anomaly and conduct traceability analysis so that power grid enterprises can proactively serve customers， reduce costs， assist government decision-making， and promote market-oriented reform of electricity.https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=9bb5a8a2-d159-4b0f-a756-c42082abfb1eaverage retail pricedbscan algorithmanomaly extractioncluster analysis |
| spellingShingle | YANG Yuqiang HU Ruoyun Construction and application of the identification model of average electricity selling price anomaly based on the DBSCAN algorithm Zhejiang dianli average retail price dbscan algorithm anomaly extraction cluster analysis |
| title | Construction and application of the identification model of average electricity selling price anomaly based on the DBSCAN algorithm |
| title_full | Construction and application of the identification model of average electricity selling price anomaly based on the DBSCAN algorithm |
| title_fullStr | Construction and application of the identification model of average electricity selling price anomaly based on the DBSCAN algorithm |
| title_full_unstemmed | Construction and application of the identification model of average electricity selling price anomaly based on the DBSCAN algorithm |
| title_short | Construction and application of the identification model of average electricity selling price anomaly based on the DBSCAN algorithm |
| title_sort | construction and application of the identification model of average electricity selling price anomaly based on the dbscan algorithm |
| topic | average retail price dbscan algorithm anomaly extraction cluster analysis |
| url | https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=9bb5a8a2-d159-4b0f-a756-c42082abfb1e |
| work_keys_str_mv | AT yangyuqiang constructionandapplicationoftheidentificationmodelofaverageelectricitysellingpriceanomalybasedonthedbscanalgorithm AT huruoyun constructionandapplicationoftheidentificationmodelofaverageelectricitysellingpriceanomalybasedonthedbscanalgorithm |