Multi-objective optimization for sustainable development of the power sector: An economic, environmental, and social analysis of Iran
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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 [38]
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Tackling climate change with machine learning
Rolnick, D., Donti, P. L., Kaack, L. H., Kochanski, K., Lacoste, A., Sankaran, K., Ross, A. S., Milojevic-Dupont, N., Jaques, N., Waldman-Brown, A., et al. (2023) · ACM Computing Surveys · doi:10.1145/3485128 · Cited by 336 · see citing works
- Authors
- Atabaki, M. S., & Aryanpur, V.
- Affiliations
- Kharazmi University (IR)
- Sharif University of Technology (IR)
- Corresponding author
- Aryanpur, Vahid
- Venue
- Energy
- Publisher
- Elsevier BV
- Published
- 2018-10
- Volume
- 161
- Pages
- 493-507
- ISSN
- 0360-5442 (ISSN-L)
- OpenAlex
- W2884982154
- Cited by
- 67
- References
- 54
- Citations by year
- 2026: 5 · 2025: 3 · 2024: 7 · 2023: 10 · 2022: 16 · 2021: 11 · 2020: 9 · 2019: 6
- FWCI
- 2.49
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Energy (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Integrated Energy Systems Optimization
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Power System Optimization
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Renewable energy and sustainable power systems
- Keywords
- power sector planning, multi-objective optimization, CO2 emission reduction, job creation, electricity mix, combined cycle power plant, photovoltaics, technological diversification, sustainable development, Pareto optimal solutions, emission reduction targets
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