A hybrid model for smart grid theft detection based on deep learning

A hybrid model for smart grid theft detection based on deep learning

A hybrid deep learning model was proposed to effectively detect electricity theft in smart grids.The hybrid model employed a deep learning convolutional neural network (AlexNet) to tackle the curse of dimensionality, significantly enhancing data processing accuracy and efficiency.It further improved...

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Bibliographic Details
Main Authors: Yinling LIAO, Jincan LI, Bing WANG, Jun ZHANG, Yaoyuan LIANG
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2024-02-01
Series:Dianxin kexue
Subjects:
AlexNet
adaptive boosting
deep driven model
theft detection
feature extraction
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024027/
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http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024027/

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