Unsupervised Learning With Hybrid Models for Detecting Electricity Theft in Smart Grids
In the energy sector, electricity theft presents serious financial and security risks. By fusing supervised learning models (Random Forest) with unsupervised learning algorithms (Isolation Forest, One-Class Support Vector Machine (SVM), Local Outlier Factor (LOF), and Density-Based Spatial Clusterin...
محفوظ في:
| المؤلف الرئيسي: | |
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| التنسيق: | Artigo |
| اللغة: | Inglês |
| منشور في: |
IEEE
2024-01-01
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| سلاسل: | IEEE Access |
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://ieeexplore.ieee.org/document/10752929/ |
| الوسوم: |
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