Flexible multi-fidelity framework for load estimation of wind farms through graph neural networks and transfer learning

Flexible multi-fidelity framework for load estimation of wind farms through graph neural networks and transfer learning

With global wind energy capacity ramping up, accurately predicting damage equivalent loads (DELs) and fatigue across wind turbine populations is critical, not only for ensuring the longevity of existing wind farms but also for the design of new farms. However, the estimation of such quantities of in...

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Bibliographic Details
Main Authors: Gregory Duthé, Francisco de N Santos, Imad Abdallah, Wout Weijtjens, Christof Devriendt, Eleni Chatzi
Format: Article
Language:English
Published: Cambridge University Press 2024-01-01
Series:Data-Centric Engineering
Subjects:
Graph neural networks
Population-based structural health monitoring
Predictive models
Transfer learning
Wind farms
Online Access:https://www.cambridge.org/core/product/identifier/S2632673624000352/type/journal_article

Internet

https://www.cambridge.org/core/product/identifier/S2632673624000352/type/journal_article

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