Modeling, planning, application and management of energy systems for isolated areas: A review
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These algorithms are also integrated into FL systems for decision support related to forecasting or optimization.
“These algorithms are also integrated into FL systems for decision support related to forecasting or optimization (Liu et al., 2018).”
From Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda (2020) · cites this paper as Liu et al., 2018
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Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda
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Review of the Effects of Fossil Fuels and the Need for a Hydrogen Fuel Cell Policy in Malaysia
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- Authors
- Liu, Y., Yu, S., Zhu, Y., Wang, D., & Liu, J.
- Affiliations
- Xi'an University of Architecture and Technology (CN)
- Corresponding author
- Liu, Yanfeng
- Venue
- Renewable and Sustainable Energy Reviews
- Publisher
- Elsevier BV
- Published
- 2018-02
- Volume
- 82
- Pages
- 460-470
- ISSN
- 1364-0321 (ISSN-L)
- OpenAlex
- W2762882198
- Cited by
- 142
- References
- 176
- Citations by year
- 2026: 10 · 2025: 9 · 2024: 11 · 2023: 20 · 2022: 20 · 2021: 18 · 2020: 19 · 2019: 19 · 2018: 16
- FWCI
- 7.92
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Renewable and Sustainable Energy Reviews (publishedVersion)
- Funders
- National Natural Science Foundation of China (51590911, 51608422)
- National Key Research Project (2016YFC0700400, 2016YFC0207800)
- Topics
- Physical Sciences › Energy › Energy Engineering and Power Technology › Hybrid Renewable Energy Systems
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Integrated Energy Systems Optimization
- Physical Sciences › Energy › Energy Engineering and Power Technology › Power Systems and Renewable Energy
- Keywords
- remote areas, energy planning, hybrid renewable energy systems, load forecasting, remote villages, energy system modelling
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