Electricity Theft Detection in AMI Based on Clustering and Local Outlier Factor

Electricity Theft Detection in AMI Based on Clustering and Local Outlier Factor

As one of the key components of smart grid, advanced metering infrastructure (AMI) provides an immense number of data, making technologies such as data mining more suitable for electricity theft detection. However, due to the unbalanced dataset in the field of electricity theft, many AI-based method...

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Bibliographic Details
Main Authors: Yanlin Peng, Yining Yang, Yuejie Xu, Yang Xue, Runan Song, Jinping Kang, Haisen Zhao
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Clustering
data mining
electricity theft detection
local outlier factor
Online Access:https://ieeexplore.ieee.org/document/9500192/

Internet

https://ieeexplore.ieee.org/document/9500192/

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