Power quality composite disturbance deep feature extraction and classification based on SCG optimized SSAE-FFNN
With the development of the smart grid, power quality issues have been widespread in the power grid and it threaten the safety and stability of the power grid. The monitoring data of power quality disturbances (PQDs) increase rapidly, and it is of great significance to achieve deep feature extractio...
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| Autori principali: | , , , , , |
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| Natura: | Artigo |
| Lingua: | Chinês |
| Pubblicazione: |
Editorial Department of Electric Power Engineering Technology
2024-05-01
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| Serie: | 电力工程技术 |
| Soggetti: | |
| Accesso online: | https://www.epet-info.com/dlgcjsen/article/abstract/230206086 |
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