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Artificial intelligence in sustainable energy industry: Status Quo, challenges and opportunities

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Ahmad, Tanveer, Zhang, Dongdong, Huang, Chao, Zhang, Hongcai, Dai, Ningyi, Song, Yonghua, Chen, Huanxin·2021·Journal of Cleaner Production

DOI 10.1016/j.jclepro.2021.125834

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Authors: Ahmad, T., Zhang, D., Huang, C., Zhang, H., Dai, N., Song, Y., & Chen, H.
Affiliations: Jinan University (CN)
Guangxi University (CN)
University of Macau (MO)
Huazhong University of Science and Technology (CN)
Corresponding author: Ahmad, Tanveer
ORCID: Ahmad, Tanveer
Zhang, Dongdong
Huang, Chao
Zhang, Hongcai
Dai, Ningyi
Song, Yonghua
Chen, Huanxin
Venue: Journal of Cleaner Production
Publisher: Elsevier BV
Published: 2021-03
Volume: 289
Pages: 125834
ISSN: 0959-6526 (ISSN-L)
DOI: 10.1016/j.jclepro.2021.125834
OpenAlex: W3118831975
Cited by: 1,258
References: 218
Citations by year: 2026: 219 · 2025: 373 · 2024: 377 · 2023: 168 · 2022: 80 · 2021: 41
FWCI: 48.97
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
www.elsevier.com/open-access/userlicense/1.0/ (am, 316 d)
doi.org/10.15223/policy-017 (stm-asf)
doi.org/10.15223/policy-037 (stm-asf)
doi.org/10.15223/policy-012 (stm-asf)
doi.org/10.15223/policy-029 (stm-asf)
doi.org/10.15223/policy-004 (stm-asf)
Locations: Journal of Cleaner Production (acceptedVersion)
Funders: Universidade de Macau
Fundo para o Desenvolvimento das Ciências e da Tecnologia
Topics: Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid and Power Systems
Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Energy, Economy, and Technology Trends
Keywords: artificial intelligence in energy, sustainable energy, smart grid, solar power generation, hydrogen production, energy efficiency optimization, predictive maintenance, big data, cybersecurity, Internet of Things, energy regulation, machine learning

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Artificial intelligence in sustainable energy industry: Status Quo, challenges and opportunities

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