Wind-induced transmission line interruption fragility models: An adaptive GAN-augmented probabilistic classification approach for extremely unbalanced data

Wind-induced transmission line interruption fragility models: An adaptive GAN-augmented probabilistic classification approach for extremely unbalanced data

Weather-induced outages pose a significant threat to power grid reliability, with transmission systems particularly vulnerable to environmental stressors. Despite numerous tools developed to address this issue, the persistent challenge of weather-related interruptions highlights the need for an accu...

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Bibliographic Details
Main Authors: Mazin Al-Mahrouqi, Abdollah Shafieezadeh, Jieun Hur, Jae-Wook Jung, Jeong-Gon Ha, Daegi Hahm
Format: Article
Language:English
Published: Elsevier 2025-05-01
Series:Energy and AI
Subjects:
Active learning
Fragility modeling
Generative Adversarial Networks (GANs)
Risk assessment
Transmission line interruption
Wind-induced failures
Online Access:http://www.sciencedirect.com/science/article/pii/S2666546825000436
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