An Efficient Method Combined Data-Driven for Detecting Electricity Theft with Stacking Structure Based on Grey Relation Analysis
Nowadays, electricity theft has been a major problem worldwide. Although many single-classification algorithms or an ensemble of single learners (i.e., homogeneous ensemble learning) have proven able to automatically identify suspicious customers in recent years, after the accuracy of these methods...
Main Authors: | Rui Xia, Yunpeng Gao, Yanqing Zhu, Dexi Gu, Jiangzhao Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-10-01
|
Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/15/19/7423 |
Similar Items
-
Grey Fuzzy Comprehensive Evaluation of Bridge Risk during Periods of Operation Based on a Combination Weighting Method
by: Xiantao Qin, et al.
Published: (2023-08-01) -
The truth about identity theft /
by: 328730 Stickley, Jim
Published: (2009) -
Identity theft handbook : detection, prevention, and security /
by: 350516 Biegelman, Martin T.
Published: (2009) -
Theft or norm? A tale of electricity theft in rural Kwaximba, eThekwini region of South Africa
by: Thobile Mbanjwa, et al.
Published: (2023-12-01) -
Cycle theft /
by: 250612 Morgan, J. M., et al.
Published: (1984)