Improving SVM-based nontechnical loss detection in power utility using the fuzzy inference system
This letter extends previous research work in modeling a nontechnical loss (NTL) framework for the detection of fraud and electricity theft in power distribution utilities. Previous work was carried out by using a support vector machine (SVM)-based NTL detection framework resulting in a detection hi...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
2017
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| Institution: | Universiti Tenaga Nasional |
| Language: | English |