DeepPQDs-DWT-STNet: A novel DWT-ST and hybrid deep learning framework for power quality disturbance classification
The prevalence of power quality disturbances (PQDs) has grown significantly due to the widespread integration of nonlinear power electronic equipment and distributed generation systems, leading to energy losses and operational disruptions. Traditional classification methods struggle with noise and c...
保存先:
| 主要な著者: | , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Elsevier
2025-11-01
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| シリーズ: | Ain Shams Engineering Journal |
| 主題: | |
| オンライン･アクセス: | http://www.sciencedirect.com/science/article/pii/S2090447925004186 |
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