An Ensemble Deep Convolutional Neural Network Model for Electricity Theft Detection in Smart Grids-Reference-Cited by-同舟云学术

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An Ensemble Deep Convolutional Neural Network Model for Electricity Theft Detection in Smart Grids

Published:2020-10-11 Issue: Volume: Page:
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Container-title:2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
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Author:

Rouzbahani Hossein Mohammadi,Karimipour Hadis,Lei Lei

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9282733/9282811/09282837.pdf?arnumber=9282837

Cited by 23 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A novel multi-classification method for photovoltaic electricity theft behavior with low false detection rate;Measurement;2025-01

2. Anomaly Detection in Electricity Consumption Data: A CNN-based Approach for District-Level Analysis in Tehran, Iran;2024 28th International Electrical Power Distribution Conference (EPDC);2024-04-23

3. Electricity theft detection in IoT-based smart grids using a parameter-tuned bidirectional LSTM with pre-trained feature learning mechanism;Electrical Engineering;2024-03-29

4. An Improved CNN Approach for Electricity Theft Detection;2023 China Automation Congress (CAC);2023-11-17

5. A Review of Intelligent Verification System for Distribution Automation Terminal based on Artificial Intelligence Algorithms;Journal of Cloud Computing;2023-10-16

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