Support-vector machine and naïve bayes based diagnostic analytic of harmonic source identification
A harmonic source diagnostic analytic is a vital to identify the location and type of harmonic source in the power system. This paper introduces a comparison of machine learning (ML) algorithm which are support vector machine (SVM) and naïve bayes (NB). Voltage and current features are used as the...
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| Main Authors: | , , , , , |
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| Format: | EJournal Article |
| Published: |
Institute of Advanced Engineering and Science,
2020-10-01.
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| Subjects: | |
| Online Access: | Get fulltext |
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| Call Number: |
A1234.567 |
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| Copy 1 | Available |