Detection of abnormalities and electricity theft using genetic support vector machines
Efficient methods for detecting electricity fraud has been an active research area in recent years. This paper presents a hybrid approach towards Non-Technical Loss (NTL) analysis for electric utilities using Genetic Algorithm (GA) and Support Vector Machine (SVM). The main motivation of this study...
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| Main Authors: | , , , , |
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| Format: | Conference Paper |
| Language: | English |
| Published: |
2017
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| Institution: | Universiti Tenaga Nasional |
| Language: | English |