Data‐driven weather forecasting models performance comparison for improving offshore wind turbine availability and maintenance
Author:
Affiliation:
1. Naval Architecture, Ocean & Marine EngineeringUniversity of Strathclyde16 Richmond StGlasgowG1 1XQScotlandUK
2. Electronics and Electrical EngineeringUniversity of Strathclyde16 Richmond StGlasgowG1 1XQScotlandUK
Publisher
Institution of Engineering and Technology (IET)
Subject
Renewable Energy, Sustainability and the Environment
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-rpg.2019.0941
Reference37 articles.
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4. A lifecycle techno-economic model of offshore wind energy for different entry and exit instances
5. PanditR.K. InfieldD.: ‘Using Gaussian process theory for wind turbine power curve analysis with emphasis on the confidence intervals’.2017 6th International Conference on Clean Electrical Power (ICCEP) Santa Margherita Ligure 2017 pp.744–749 doi:https://doi.org/10.1109/ICCEP.2017.8004774
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