Hybrid Renewable Energy Resources Selection Based on Multi Criteria Decision Methods for Optimal Performance

Gama Ali; Hmeda N. Musbah; Hamed H. Aly; Timothy Little

doi:10.1109/ACCESS.2023.3254532

Hybrid Renewable Energy Resources Selection Based on Multi Criteria Decision Methods for Optimal Performance

Gama Ali, Hmeda N. Musbah, Hamed H. Aly, Timothy Little

Institutional Research Division

Research output: Contribution to journal › Article › peer-review

14 Citations (Scopus)

Original language	English
Pages (from-to)	26773-26784
Number of pages	12
Journal	IEEE Access
Volume	11
DOIs	https://doi.org/10.1109/ACCESS.2023.3254532
Publication status	Published - 2023

ASJC Scopus Subject Areas

General Engineering
General Materials Science
Electrical and Electronic Engineering
General Computer Science

Keywords

Alternative renewable energy sources
COPRAS
MCDA
TOPSIS
VIKOR
fuzzy TOPSIS

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ACCESS.2023.3254532

Cite this

@article{1fcdde50506647a59a7f9b56212d4593,

title = "Hybrid Renewable Energy Resources Selection Based on Multi Criteria Decision Methods for Optimal Performance",

keywords = "Alternative renewable energy sources, COPRAS, MCDA, TOPSIS, VIKOR, fuzzy TOPSIS",

author = "Gama Ali and Musbah, {Hmeda N.} and Aly, {Hamed H.} and Timothy Little",

note = "Publisher Copyright: {\textcopyright} 2013 IEEE.",

year = "2023",

doi = "10.1109/ACCESS.2023.3254532",

language = "English",

volume = "11",

pages = "26773--26784",

journal = "IEEE Access",

issn = "2169-3536",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - JOUR

T1 - Hybrid Renewable Energy Resources Selection Based on Multi Criteria Decision Methods for Optimal Performance

AU - Ali, Gama

AU - Musbah, Hmeda N.

AU - Aly, Hamed H.

AU - Little, Timothy

PY - 2023

Y1 - 2023

KW - Alternative renewable energy sources

KW - COPRAS

KW - MCDA

KW - TOPSIS

KW - VIKOR

KW - fuzzy TOPSIS

UR - http://www.scopus.com/inward/record.url?scp=85151507547&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85151507547&partnerID=8YFLogxK

U2 - 10.1109/ACCESS.2023.3254532

DO - 10.1109/ACCESS.2023.3254532

M3 - Article

AN - SCOPUS:85151507547

SN - 2169-3536

VL - 11

SP - 26773

EP - 26784

JO - IEEE Access

JF - IEEE Access

ER -

Hybrid Renewable Energy Resources Selection Based on Multi Criteria Decision Methods for Optimal Performance

ASJC Scopus Subject Areas

Keywords

UN SDGs

Access to Document

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New Renewable Energy Study Results Reported from Dalhousie University (Hybrid Renewable Energy Resources Selection Based on Multi Criteria Decision Methods for Optimal Performance)

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Hybrid Renewable Energy Resources Selection Based on Multi Criteria Decision Methods for Optimal Performance

ASJC Scopus Subject Areas

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Press/Media

New Renewable Energy Study Results Reported from Dalhousie University (Hybrid Renewable Energy Resources Selection Based on Multi Criteria Decision Methods for Optimal Performance)

Cite this