Comparative Performance Analysis of Deep Learning-Based Diagnostic and Predictive Models in Grid-Integrated Doubly Fed Induction Generator Wind Turbines

As the deployment of wind energy systems continues to rise globally, ensuring the reliability and efficiency of grid-connected Doubly Fed Induction Generator (DFIG) wind turbines has become increasingly critical. Two core challenges faced by these systems include fault diagnosis in power electronic...

وصف كامل

التفاصيل البيبلوغرافية

الحاوية / القاعدة:	Energies
المؤلفون الرئيسيون:	Ramesh Kumar Behara, Akshay Kumar Saha
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	MDPI AG 2025-09-01
الموضوعات:	DFIG wind turbines CNN-LSTM incremental GAN fault diagnosis wind prediction deep learning
الوصول للمادة أونلاين:	https://www.mdpi.com/1996-1073/18/17/4725