Application of multi-criteria decision-making tools for a site analysis of offshore wind turbines

Mohammad Yazdi; Arman Nedjati; Esmaeil Zarei; Rouzbeh Abbassi

doi:10.1016/B978-0-323-90508-4.00008-3

Application of multi-criteria decision-making tools for a site analysis of offshore wind turbines

Mohammad Yazdi, Arman Nedjati, Esmaeil Zarei, Rouzbeh Abbassi

Safety Science

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Original language	English
Title of host publication	Artificial Intelligence and Data Science in Environmental Sensing
Publisher	Elsevier
Pages	109-127
Number of pages	19
ISBN (Electronic)	9780323905084
ISBN (Print)	9780323905077
DOIs	https://doi.org/10.1016/B978-0-323-90508-4.00008-3
State	Published - Jan 1 2022

ASJC Scopus Subject Areas

General Computer Science

Keywords

Mathematical programming
Multicriteria
Multiobjective
Optimization
Site selection
Wind turbines

Access to Document

10.1016/B978-0-323-90508-4.00008-3

Cite this

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title = "Application of multi-criteria decision-making tools for a site analysis of offshore wind turbines",

keywords = "Mathematical programming, Multicriteria, Multiobjective, Optimization, Site selection, Wind turbines",

author = "Mohammad Yazdi and Arman Nedjati and Esmaeil Zarei and Rouzbeh Abbassi",

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T1 - Application of multi-criteria decision-making tools for a site analysis of offshore wind turbines

AU - Yazdi, Mohammad

AU - Nedjati, Arman

AU - Zarei, Esmaeil

AU - Abbassi, Rouzbeh

PY - 2022/1/1

Y1 - 2022/1/1

KW - Mathematical programming

KW - Multicriteria

KW - Multiobjective

KW - Optimization

KW - Site selection

KW - Wind turbines

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DO - 10.1016/B978-0-323-90508-4.00008-3

M3 - Chapter

AN - SCOPUS:85131494618

SN - 9780323905077

SP - 109

EP - 127

BT - Artificial Intelligence and Data Science in Environmental Sensing

PB - Elsevier

ER -

Application of multi-criteria decision-making tools for a site analysis of offshore wind turbines

ASJC Scopus Subject Areas

Keywords

Access to Document

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Cite this