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...
محفوظ في:
| المؤلفون الرئيسيون: | , |
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| التنسيق: | Artigo |
| اللغة: | Inglês |
| منشور في: |
Elsevier
2025-11-01
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| سلاسل: | Ain Shams Engineering Journal |
| الموضوعات: | |
| الوصول للمادة أونلاين: | http://www.sciencedirect.com/science/article/pii/S2090447925004186 |
| الوسوم: |
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