A multi-objective optimization model for sustainable electricity generation and CO2 mitigation (EGCM) infrastructure design considering economic profit and financial risk
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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 [325]
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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
- Han, J.-H., Ahn, Y.-C., & Lee, I.-B.
- Affiliations
- Pohang University of Science and Technology (KR)
- Corresponding author
- Lee, In-Beum
- ORCID
- Lee, In-Beum
- Venue
- Applied Energy
- Publisher
- Elsevier BV
- Published
- 2012-07
- Volume
- 95
- Pages
- 186-195
- ISSN
- 0306-2619 (ISSN-L)
- OpenAlex
- W2083092784
- Cited by
- 58
- References
- 16
- Citations by year
- 2026: 1 · 2024: 1 · 2023: 1 · 2022: 7 · 2021: 4 · 2020: 1 · 2019: 4 · 2018: 10 · 2017: 2 · 2016: 8 · 2015: 7 · 2014: 4 · 2013: 6 · 2012: 2
- FWCI
- 3.89
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Applied Energy (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Open Access System for Information Sharing (Pohang University of Science and Technology) (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
- sustainable electricity generation, CO2 emission reduction, infrastructure design, multi-objective optimization, financial risk management, uncertainty, carbon capture and storage, carbon credits, electricity prices, expected profit maximization, simple additive weighting, CO2 emission standards
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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