Power quality disturbance classification based on ensemble learning
The classification of power quality disturbances plays a crucial role in fault warning and identification within power systems. To address the challenges posed by complex signals in new power systems, this paper proposes a neural network model that integrates deep hyperparameter convolution, multi-s...
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| Principais autores: | , , , , , |
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| Format: | Artigo |
| Jezik: | Chinês |
| Izdano: |
Harbin Jinhe Electrical Measurement & Instrumentation Magazine Publishing Co., Ltd.
2026-02-01
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| Serija: | Diance yu yibiao |
| Teme: | |
| Online dostop: | http://www.emijournal.net/dcyyb/ch/reader/create_pdf.aspx?file_no=20241125004&flag=1&journal_id=dcyyb&year_id=2026 |
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