An End-to-End Deep Learning Method for Voltage Sag Classification
Power quality disturbances (PQD) have a negative impact on power quality-sensitive equipment, often resulting in great financial losses. To prevent these losses, besides detecting a PQD on time, it is important to classify it, so that appropriate recovery procedures are employed. The majority of res...
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| Principais autores: | , , , , , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
MDPI AG
2022-04-01
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| Serija: | Energies |
| Teme: | |
| Online dostop: | https://www.mdpi.com/1996-1073/15/8/2898 |
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