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

School of Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

4 Citations (Scopus)

Original language	English
Title of host publication	Artificial intelligence and data science in environmental sensing
Editors	Mohsen Asadnia, Amir Razmjou, Amin Beheshti
Place of Publication	London, UK ; San Diego, US ; Cambridge, US ; Oxford, UK
Publisher	Elsevier
Chapter	6
Pages	109-127
Number of pages	19
ISBN (Electronic)	9780323905077
ISBN (Print)	9780323905084
DOIs	https://doi.org/10.1016/B978-0-323-90508-4.00008-3
Publication status	Published - 2022

Publication series

Name	Cognitive Data Science in Sustainable Computing
Publisher	Elsevier

Access to Document

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

Cite this

Yazdi, M., Nedjati, A., Zarei, E., & Abbassi, R. (2022). Application of multi-criteria decision-making tools for a site analysis of offshore wind turbines. In M. Asadnia, A. Razmjou, & A. Beheshti (Eds.), Artificial intelligence and data science in environmental sensing (pp. 109-127). (Cognitive Data Science in Sustainable Computing). Elsevier. https://doi.org/10.1016/B978-0-323-90508-4.00008-3

Yazdi, Mohammad ; Nedjati, Arman ; Zarei, Esmaeil et al. / Application of multi-criteria decision-making tools for a site analysis of offshore wind turbines. Artificial intelligence and data science in environmental sensing. editor / Mohsen Asadnia ; Amir Razmjou ; Amin Beheshti. London, UK ; San Diego, US ; Cambridge, US ; Oxford, UK : Elsevier, 2022. pp. 109-127 (Cognitive Data Science in Sustainable Computing).

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

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Yazdi, M, Nedjati, A, Zarei, E & Abbassi, R 2022, Application of multi-criteria decision-making tools for a site analysis of offshore wind turbines. in M Asadnia, A Razmjou & A Beheshti (eds), Artificial intelligence and data science in environmental sensing. Cognitive Data Science in Sustainable Computing, Elsevier, London, UK ; San Diego, US ; Cambridge, US ; Oxford, UK, pp. 109-127. https://doi.org/10.1016/B978-0-323-90508-4.00008-3

Application of multi-criteria decision-making tools for a site analysis of offshore wind turbines. / Yazdi, Mohammad; Nedjati, Arman; Zarei, Esmaeil et al.

Artificial intelligence and data science in environmental sensing. ed. / Mohsen Asadnia; Amir Razmjou; Amin Beheshti. London, UK ; San Diego, US ; Cambridge, US ; Oxford, UK : Elsevier, 2022. p. 109-127 (Cognitive Data Science in Sustainable Computing).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

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

Y1 - 2022

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U2 - 10.1016/B978-0-323-90508-4.00008-3

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

M3 - Chapter

SN - 9780323905084

T3 - Cognitive Data Science in Sustainable Computing

SP - 109

EP - 127

BT - Artificial intelligence and data science in environmental sensing

A2 - Asadnia, Mohsen

A2 - Razmjou, Amir

A2 - Beheshti, Amin

PB - Elsevier

CY - London, UK ; San Diego, US ; Cambridge, US ; Oxford, UK

ER -

Yazdi M, Nedjati A, Zarei E, Abbassi R. Application of multi-criteria decision-making tools for a site analysis of offshore wind turbines. In Asadnia M, Razmjou A, Beheshti A, editors, Artificial intelligence and data science in environmental sensing. London, UK ; San Diego, US ; Cambridge, US ; Oxford, UK: Elsevier. 2022. p. 109-127. (Cognitive Data Science in Sustainable Computing). https://doi.org/10.1016/B978-0-323-90508-4.00008-3

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

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