Cited by 33Integrated Energy Systems OptimizationHybrid Renewable Energy SystemsRenewable energy and sustainable power systems

A data-driven analytical roadmap to a sustainable 2030 in South Korea based on optimal renewable microgrids

Ifaei, Pouya, Tayerani Charmchi, Amir Saman, Loy-Benitez, Jorge, Yang, Rebecca Jing, Yoo, ChangKyoo·2022·Renewable and Sustainable Energy Reviews

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Crossref · 10.1016/j.rser.2022.112752

Cites

149 of 149 references verified0 citation errors · 0 not checkable

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  • International trade rules and regulations, such as tariffs, quotas, and trade agreements, influence the import and export of biofuels and feedstocks.

    “International trade rules and regulations can influence the biofuel industry. Tariffs, quotas, and trade agreements influence the import and export of biofuels and feedstocks.”

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Authors
Ifaei, P., Tayerani Charmchi, A. S., Loy-Benitez, J., Yang, R. J., & Yoo, C.
Affiliations
  • Kyung Hee University (KR)
  • RMIT University (AU)
Corresponding author
Yoo, ChangKyoo
Venue
Renewable and Sustainable Energy Reviews
Publisher
Elsevier BV
Published
2022-10
Volume
167
Pages
112752
ISSN
1364-0321 (ISSN-L)
OpenAlex
W4284966034
Cited by
33
References
151
Citations by year
2026: 5 · 2025: 3 · 2024: 12 · 2023: 12 · 2022: 1
FWCI
1.92
Type
journal article
Language
en
Open access
closed
Locations
  • Renewable and Sustainable Energy Reviews (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • RMIT Research Repository (RMIT University Library) (submittedVersion)
  • Figshare (submittedVersion)
Funders
  • National Research Foundation of Korea
  • Ministry of Environment
  • Ministry of Science, ICT and Future Planning (2019H1D3A1A02071051, 2021R1A2C2007838)
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Integrated Energy Systems Optimization
  • Physical Sciences › Energy › Energy Engineering and Power Technology › Hybrid Renewable Energy Systems
  • Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Renewable energy and sustainable power systems
Keywords
hybrid renewable microgrid, sustainable energy policy, load forecasting, stacked neural networks, convolutional neural networks, renewable energy mapping, multi-criteria decision making, water-energy-carbon nexus, stochastic linear programming, renewable energy employment, climate change adaptation

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