Electricity Theft Detection in Smart Grids Using a Hybrid BiGRU–BiLSTM Model with Feature Engineering-Based Preprocessing

Electricity Theft Detection in Smart Grids Using a Hybrid BiGRU–BiLSTM Model with Feature Engineering-Based Preprocessing

In this paper, a defused decision boundary which renders misclassification issues due to the presence of cross-pairs is investigated. Cross-pairs retain cumulative attributes of both classes and misguide the classifier due to the defused data samples’ nature. To tackle the problem of the defused dat...

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Bibliographic Details
Main Authors: Shoaib Munawar, Nadeem Javaid, Zeshan Aslam Khan, Naveed Ishtiaq Chaudhary, Muhammad Asif Zahoor Raja, Ahmad H. Milyani, Abdullah Ahmed Azhari
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Sensors
Subjects:
electricity theft detection
smart grids
robustness
smart meters
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Online Access:https://www.mdpi.com/1424-8220/22/20/7818

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https://www.mdpi.com/1424-8220/22/20/7818

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