Automatic classification of power quality disturbances using optimal feature selection based algorithm
The development of renewable energy sources and power electronic converters in conventional power systems leads to Power Quality (PQ) disturbances. This research aims at automatic detection and classification of single and multiple PQ disturbances using a novel optimal feature selection based on Dis...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2016
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/60724/1/SuhailKhokharPFKE2016.pdf http://eprints.utm.my/id/eprint/60724/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:93976 |
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| Institution: | Universiti Teknologi Malaysia |
| Language: | English |