Construction and Application of VS-DBN Anti-Theft Diagnosis Model Based on Neural Architecture Search-Reference-Cited by-同舟云学术

Construction and Application of VS-DBN Anti-Theft Diagnosis Model Based on Neural Architecture Search

Published:2023 Issue: Volume:11 Page:100683-100694
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Zhang Hechuan¹^ORCID,Wang Lei¹,Li Wenhui¹,Wang Yujun²,Zhang Ge³

Affiliation:

1. Department of Power Supply Engineering, Baoding Technical College of Electric Power, State Grid Jibei Electric Power Company Limited Skills Training Center, Baoding, China

2. Marketing Department, State Grid Jibei Electric Power Company, Beijing, China

3. Sales Department, State Grid Tianjin Chengdong Electric Power Company, Tianjin, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10250776.pdf?arnumber=10250776

Reference27 articles.

1. Two-Step Electricity Theft Detection Strategy Considering Economic Return Based on Convolutional Autoencoder and Improved Regression Algorithm

2. Electricity theft detection in power utilities using bagged CHAID-based classification trees;saeed;J Optim Ind Eng,2022

3. Detection of Power Theft in Low Voltage Distribution Systems: A Review from the Indian Perspective

4. Attack Context Embedded Data Driven Trust Diagnostics in Smart Metering Infrastructure

5. A Statistical Framework for Detecting Electricity Theft Activities in Smart Grid Distribution Networks

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