Comparative analysis of methods for modelling the short-term probability distribution of extreme wind turbine loads
Author:
Affiliation:
1. Department of Wind Energy; Risoe Campus, Technical University of Denmark; 4000 Roskilde Denmark
Funder
the Danish Energy Technology Development and Demonstration (EUDP)
Publisher
Wiley
Subject
Renewable Energy, Sustainability and the Environment
Reference18 articles.
1. IEC International standard IEC61400-1: wind turbines - part 1: design guidelines 2005
2. Estimation of extreme values from sampled time series;Naess;Structural Safety,2009
3. Towards an improved understanding of statistical extrapolation for wind turbine extreme loads;Fogle;Wind Energy,2008
4. Investigation of site-specific wind field parameters and their effect on loads of offshore wind turbines;Ernst;Energies,2012
5. Statistical extrapolation methods for estimating wind turbine extreme loads;Ragan;Journal of Solar Energy Engineering,2008
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