Nontechnical Loss Detection With Duffing–Holmes Self-Synchronization Dynamic Errors and 1D CNN-Based Multilayer Classifier in a Smart Grid

Nontechnical Loss Detection With Duffing–Holmes Self-Synchronization Dynamic Errors and 1D CNN-Based Multilayer Classifier in a Smart Grid

The combined Duffing–Holmes (D–H)–based quantizer and one-dimensional (1D) convolutional neural network (CNN)-based multilayer classifier were applied to perform the nontechnical loss (NTL’s) (electricity fraud) feature quantification, feature extraction,...

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Bibliographic Details
Main Authors: Chia-Hung Lin, Feng-Chang Gu, Jian-Xing Wu, Chao-Lin Kuo
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Nontechnical loss
Duffing–Holmes (D-H) based quantizer
one-dimension convolutional neural network (CNN)
short-time screening window
gray relational analysis (GRA)
Online Access:https://ieeexplore.ieee.org/document/9831790/

Internet

https://ieeexplore.ieee.org/document/9831790/

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