Assessing the risk of disruption of wind turbine operations in Saudi Arabia using Bayesian spatial extremes
type: Item
instance of: scholarly article
title: Assessing the risk of disruption of wind turbine operations in Saudi Arabia using Bayesian spatial extremes
zbMATH Open document ID: 1466.62448
author: Stefano Castruccio
author: Marc G. Genton
author: W. F. Chen
published in: Extremes
publication date: 2021-06-01T00:00:00Z
full work available at URL: http://hdl.handle.net/10754/664449
Mathematics Subject Classification ID: 62P30
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 62G32
Mathematics Subject Classification ID: 62M30
Mathematics Subject Classification ID: 62M40
Mathematics Subject Classification ID: 60F10
zbMATH DE Number: 7353326
zbMATH Keywords: return levels
zbMATH Keywords: spatial extremes
zbMATH Keywords: spatial hierarchical modeling
zbMATH Keywords: wind energy
zbMATH Keywords: wind extremes
zbMATH Keywords: wind turbines
describes a project that uses: CARBayes
describes a project that uses: GMRFLib
describes a project that uses: spBayes
describes a project that uses: ismev
MaRDI profile type: Publication
OpenAlex ID: W3044972295
Wikidata QID: Q115992174
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DOI: 10.1007/S10687-020-00384-1
description: scientific article; zbMATH DE number 7353326