An Intelligent Machine Learning Approach for Smart Grid Theft Detection-Reference-Cited by-同舟云学术

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An Intelligent Machine Learning Approach for Smart Grid Theft Detection

Published:2022-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)
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Author:

Garg Dhruv¹,Kumar Neeraj¹,Mohammad Nazeeruddin²

Affiliation:

1. Thapar Institute of Engineering & Technology,Computer Science & Engineering Department,Patiala,India

2. Prince Mohammad Bin Fahd University,Cybersecurity Center,Khobar,Saudi Arabia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9842746/9842756/09842829.pdf?arnumber=9842829

Reference26 articles.

1. Improving SVM-Based Nontechnical Loss Detection in Power Utility Using the Fuzzy Inference System

2. Nontechnical Loss Detection for Metered Customers in Power Utility Using Support Vector Machines

3. Detecting Stealthy False Data Injection Using Machine Learning in Smart Grid

4. Decision Tree Learning for Fraud Detection in Consumer Energy Consumption

5. Decision Tree and SVM-Based Data Analytics for Theft Detection in Smart Grid

Cited by 1 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. Multi-Source and Multi-Powered Smart Grid Prediction Using Deep Learning;2024 International Conference on Science Technology Engineering and Management (ICSTEM);2024-04-26

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