Big Data Cleaning Based on Improved CLOF and Random Forest for Distribution Networks
In order to improve the data quality, the big data cleaning method for distribution networks is studied in this paper. First, the Local Outlier Factor (LOF) algorithm based on DBSCAN clustering is used to detect outliers. However, due to the difficulty in determining the LOF threshold, a method of d...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
China electric power research institute
2024-01-01
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| Series: | CSEE Journal of Power and Energy Systems |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9299499/ |
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