An attention-based wide and deep CNN with dilated convolutions for detecting electricity theft considering imbalanced data-Reference-Cited by-同舟云学术

An attention-based wide and deep CNN with dilated convolutions for detecting electricity theft considering imbalanced data

Published:2023-01 Issue: Volume:214 Page:108886
ISSN:0378-7796
Container-title:Electric Power Systems Research
language:en
Short-container-title:Electric Power Systems Research

Author:

Xia Rui,Gao Yunpeng,Zhu Yanqing^ORCID,Gu Dexi,Wang Jiangzhao

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference37 articles.

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4. A comparative analysis of unbalanced data handling techniques for machine learning algorithms to electricity theft detection;Pereira,2020

5. Distribution networks nontechnical power loss estimation: a hybrid data-driven physics model-based framework;Bretas;Electr. Power Syst. Res.,2021

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