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基于深度学习的高效电力盗窃检测

Nada M Elshennawy1, Dina M Ibrahim2, Ahmed M Gab Allah3

  • 1Department of Computers and Control Engineering, Faculty of Engineering, Tanta University, Tanta, 31733, Egypt. Nada_elshennawy@f-eng.tanta.edu.eg.

Scientific reports
|April 15, 2025
PubMed
概括

本研究介绍了一种先进的深度学习方法,用于使用智能电网数据检测电力盗窃. 这种新的方法实现了97%的准确性,优于现有的方法,并提高了电网安全性.

关键词:
卷积神经网络 (CNN) 是一种神经网络.电力盗窃检测 电力盗窃检测洛拉斯·洛拉斯 (LoRAS) 是一个长期短期记忆 (LSTM) 是一种智能电网是一个智能电网.

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