A Hybrid Deep Learning Neural Network Model and Data-Driven Methods for Smart Grid Theft Detection-Reference-Cited by-同舟云学术

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A Hybrid Deep Learning Neural Network Model and Data-Driven Methods for Smart Grid Theft Detection

Published:2023-12-14 Issue: Volume: Page:1-7
ISSN:
Container-title:2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)
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Author:

Merlin S. Sudha¹,Yugha R.²,L Hubert Mary.³,P Varalakshmi.⁴,Mavaluru Dinesh⁵

Affiliation:

1. DMI College of Engineering,Department of EEE,Chennai

2. Sathyabama Institute of Science and Technology,School of Computing,Chennai

3. Jeppiaar Institute of Technology,Department of ECE,Chennai

4. Dhanalakshmi College of Engineering,Department of AI & DS,Chennai

5. Saveetha Institute of Medical and Technical Sciences (SIMATS),Saveetha School of Engineering,Department of VLSI Microelectronics,Chennai

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10464384/10465267/10465331.pdf?arnumber=10465331

Reference11 articles.

1. Electricity-theft detection in smart grids based on deep learning

2. Smart Grid Theft Detection Based on Hybrid Multi-Time Scale Neural Network

3. Electricity Theft Detection in Smart Grid Systems: A CNN-LSTM Based Approach

4. An Intelligent LoRa based Women Protection and Safety Enhancement using Internet of Things

5. Uncompressed digital video watermarking using stationary wavelet transform

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