Wind power prediction in complex terrain using analog ensembles

Yngve Birkelund; Stefano Alessandrini; Øyvind Byrkjedal; Luca Delle Monache

doi:10.1088/1742-6596/1102/1/012008

Wind power prediction in complex terrain using analog ensembles

Yngve Birkelund
, Stefano Alessandrini
, Øyvind Byrkjedal
, Luca Delle Monache

University of Tromsø – The Arctic University of Norway
National Center for Atmospheric Research
Kjeller Vindteknikk AS

Research output: Contribution to journal › Conference article › peer-review

5 Scopus citations

Original language	English
Article number	012008
Journal	Journal of Physics: Conference Series
Volume	1102
Issue number	1
DOIs	https://doi.org/10.1088/1742-6596/1102/1/012008
State	Published - Oct 10 2018
Event	Global Wind Summit 2018 - WindEurope Conference and WindEnergy Hamburg - Hamburg, Germany Duration: Sep 25 2018 → Sep 28 2018

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10.1088/1742-6596/1102/1/012008

Cite this

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title = "Wind power prediction in complex terrain using analog ensembles",

author = "Yngve Birkelund and Stefano Alessandrini and {\O}yvind Byrkjedal and Monache, \{Luca Delle\}",

year = "2018",

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doi = "10.1088/1742-6596/1102/1/012008",

language = "English",

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journal = "Journal of Physics: Conference Series",

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note = "Global Wind Summit 2018 - WindEurope Conference and WindEnergy Hamburg ; Conference date: 25-09-2018 Through 28-09-2018",

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TY - JOUR

T1 - Wind power prediction in complex terrain using analog ensembles

AU - Birkelund, Yngve

AU - Alessandrini, Stefano

AU - Byrkjedal, Øyvind

AU - Monache, Luca Delle

PY - 2018/10/10

Y1 - 2018/10/10

UR - https://www.scopus.com/pages/publications/85054908436

U2 - 10.1088/1742-6596/1102/1/012008

DO - 10.1088/1742-6596/1102/1/012008

M3 - Conference article

AN - SCOPUS:85054908436

SN - 1742-6588

VL - 1102

JO - Journal of Physics: Conference Series

JF - Journal of Physics: Conference Series

IS - 1

M1 - 012008

T2 - Global Wind Summit 2018 - WindEurope Conference and WindEnergy Hamburg

Y2 - 25 September 2018 through 28 September 2018

ER -

Wind power prediction in complex terrain using analog ensembles

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