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Sequential Data-Driven Long-Term Weather Forecasting Models’ Performance Comparison for Improving Offshore Operation and Maintenance Operations

Offshore wind turbines (OWTs), in comparison to onshore wind turbines, are gaining popularity worldwide since they create a large amount of electrical power and have thus become more financially viable in recent years. However, OWTs are costly as they are vulnerable to damage from extremely high-spe...

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Principais autores: Ravi Pandit, Davide Astolfi, Anh Minh Tang, David Infield
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2022-10-01
Serier:Energies
Fag:
wind turbine
offshore wind
weather forecasting
deep learning
machine learning
Online adgang:https://www.mdpi.com/1996-1073/15/19/7233
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