Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Reidar Staupe-Delgado"'
Autor:
Hao Chen, Reidar Staupe-Delgado
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 864-870 (2022)
Sound analyses of the nonlinear relationship between wind speed and power generation are crucial for the advancement of wind energy optimization. As an emerging artificial intelligence technology, deep learning has received growing attention from ene
Externí odkaz:
https://doaj.org/article/5dcfcaf01dc047d793ccdc6842591cfa
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract Mapping Arctic renewable energy resources, particularly wind, is important to ensure the transition into renewable energy in this environmentally vulnerable region. The statistical characterisation of wind is critical for effectively assessi
Externí odkaz:
https://doaj.org/article/f35c4dab699545dcb7270426635f61ab
Autor:
Reidar Staupe-Delgado, Olivier Rubin
Publikováno v:
International Journal of Disaster Risk Science
In this article, we set out to reconcile a general conceptualization of disaster temporalities by drawing on the epitome example of a creeping disaster, namely famine. Our argument is driven by the recognition that slowly manifesting disaster impacts
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1922016637eb4c6b57848057496f743b
https://doi.org/10.1007/s13753-022-00391-9
https://doi.org/10.1007/s13753-022-00391-9
his study considers temporal aspects of livelihood adaptation in times of turmoil by drawing on interviews with informal street vendors in Facatativá, Colombia. By engaging a ‘time stories’ perspective, this article aims to provide a better unde
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73c37f9e443b5d3eec1ae5fb34e702fc
https://hdl.handle.net/10037/29114
https://hdl.handle.net/10037/29114
Publikováno v:
Risk, Hazards & Crisis in Public Policy. 11:87-104
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec21903e84724c3bf9fadc307eecfb6b
https://doi.org/10.1002/rhc3.12180
https://doi.org/10.1002/rhc3.12180
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::774fc80f7f602ab368413895e0a2d3a0
https://doi.org/10.2139/ssrn.4093997
https://doi.org/10.2139/ssrn.4093997
Publikováno v:
International Journal of Disaster Risk Reduction
A growing number of research fields have been striving for recognition as an academic discipline. Rather than argue that ‘our field’ should also be recognised as such, we stop to ask two fundamental questions. Our first question concerns whether
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d28b02ede8fdcef28bb6c26ca59cf74
https://hdl.handle.net/10037/23984
https://hdl.handle.net/10037/23984
Autor:
Hao Chen, Reidar Staupe-Delgado
Publikováno v:
Energy Reports, Vol 8, Iss, Pp 864-870 (2022)
Sound analyses of the nonlinear relationship between wind speed and power generation are crucial for the advancement of wind energy optimization. As an emerging artificial intelligence technology, deep learning has received growing attention from ene
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95b9ee8b4be16272dae244ca56c1a96b
https://hdl.handle.net/10037/24483
https://hdl.handle.net/10037/24483