首页|期刊导航|CSEE Journal of Power and Energy Systems|Big Data Cleaning Based on Improved CLOF and Random Forest for Distribution Networks

Big Data Cleaning Based on Improved CLOF and Random Forest for Distribution Networks

Jie Liu Yijia Cao Yong Li Yixiu Guo Wei Deng

CSEE Journal of Power and Energy Systems2024，Vol.10Issue(6)：P.2528-2538,11.

CSEE Journal of Power and Energy Systems2024，Vol.10Issue(6)：P.2528-2538,11.DOI:10.17775/CSEEJPES.2020.04080

Big Data Cleaning Based on Improved CLOF and Random Forest for Distribution Networks

Jie Liu ¹Yijia Cao ¹Yong Li ¹Yixiu Guo ¹Wei Deng²

作者信息

1. College of Electrical and Information Engineering,Hunan University,Changsha 410082,China
2. State Grid Hunan Electric Power Company Limited Research Institute,Changsha 410007,China
折叠

摘要

关键词

Data cleaning/DBSCAN/LOF/missing data imputation/outliers detection/Random Forest

分类

信息技术与安全科学

引用本文复制引用

Jie Liu,Yijia Cao,Yong Li,Yixiu Guo,Wei Deng..Big Data Cleaning Based on Improved CLOF and Random Forest for Distribution Networks[J].CSEE Journal of Power and Energy Systems,2024,10(6):P.2528-2538,11.

基金项目

supported in part by the National Natural Science Foundation of China(NSFC)under Grant U1966207 and 51822702 （NSFC）

in part by the Key Research and Development Program of Hunan Province of China under Grant 2018GK2031 （）

in part by the 111 Project of China under Grant B17016,in part by the Innovative Construction Program of Hunan Province of China under Grant 2019RS1016 （）

in part by the Excellent Innovation Youth Program of Changsha of China under Grant KQ1802029. （）

CSEE Journal of Power and Energy Systems

OACSTPCDEI

ISSN：2096-0042

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