Power Theft Detection in Smart Grids Using Quantum Machine Learning
Electricity theft can lead to enormous economic losses and cause operational and security problems for electricity networks and utilities. Most current research has focused on electricity theft detection in the consumption sector. However, the high penetration rate of distributed generation (DG) can...
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| Main Authors: | Konstantinos Blazakis, Nikolaos Schetakis, Mahmoud M. Badr, Davit Aghamalyan, Konstantinos Stavrakakis, Georgios Stavrakakis |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10949078/ |
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