Application of multi-criteria decision making to sustainable energy planning—A review
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This approach has been applied in a number of climate change-related fields, including energy and infrastructure planning, industry, land use, and more.
“This approach has been applied in a number of climate change-related fields, including energy and infrastructure planning [38,325,525,635,732,856], industry [122,334], land use [462,809], and more [127,317,539,761].”
From Tackling climate change with machine learning (2023) · cites this paper as [635]
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- Authors
- Pohekar, S. D., & Ramachandran, M.
- Affiliations
- Birla Institute of Technology and Science, Pilani (IN)
- Corresponding author
- Pohekar, S.D.
- Venue
- Renewable and Sustainable Energy Reviews
- Publisher
- Elsevier BV
- Published
- 2004-08
- Volume
- 8
- Issue
- 4
- Pages
- 365-381
- ISSN
- 1364-0321 (ISSN-L)
- OpenAlex
- W1965470998
- Cited by
- 1,938
- References
- 99
- Citations by year
- 2026: 89 · 2025: 70 · 2024: 65 · 2023: 127 · 2022: 104 · 2021: 136 · 2020: 127 · 2019: 137 · 2018: 133 · 2017: 158 · 2016: 138 · 2015: 110 · 2014: 116 · 2013: 101 · 2012: 81
- FWCI
- 25.83
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Renewable and Sustainable Energy Reviews (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Multi-Criteria Decision Making
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Energy and Environmental Sustainability
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Integrated Energy Systems Optimization
- Keywords
- multi-criteria decision making, sustainable energy planning, energy management, analytic hierarchy process, outranking methods, PROMETHEE, ELECTRE, fuzzy methods, decision support system, multi-objective decision making
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