Cited by 1,258Smart Grid and Power SystemsArtificial Intelligence ApplicationsEnergy, Economy, and Technology Trends

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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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Searle, J. R. (1980) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00005756 · Cited by 6,954
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Pálenský, P., & Dietrich, D. (2011) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2011.2158841 · Cited by 2,959
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Güngör, V. Ç., Sahin, D., Koçak, T., Ergüt, S., Buccella, C., Cecati, C., & Hancke, G. P. (2011) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2011.2166794 · Cited by 2,694
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Mellit, A., & Kalogirou, S. A. (2008) · Progress in Energy and Combustion Science · doi:10.1016/j.pecs.2008.01.001 · Cited by 1,069
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Raza, M. Q., & Khosravi, A. (2015) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2015.04.065 · Cited by 1,061

Show all 218 references

Research works printed but not linked: 8

Elsevier, 2018, Artificial Intelligence: how knowledge is created, transferred, and used, Artif. Intell. Resour. Cent., 1
Hao, 2019, Training a single AI model can emit as much carbon as five cars in their lifetimes - MIT Technology Review, MIT Technol. Rev., 1
2019, SDG7: data and projections, SDG7 Data Proj, 1–6
Jiang, 2020, The role of hydrogen energy in China’s future energy system and preliminary study on the route of re-electrification, Therm. Power Gener., 49, 1
Mearian, 2017, Data storage goes from $1M to 2 cents per gigabyte, Computerworld, 2
Ransbotham, 2017, Is your business ready for artificial intelligence? Jt. BCG-MIT sloan manag, Rev. Surv. impact Artif. Intell. Bus.
Raza, 2015, A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings, Renew. Sustain. Energy Rev., 50, 1352, 10.1016/j.rser.2015.04.065 · DOI
Wei, 2019, Conventional models and artificial intelligence-based models for energy consumption forecasting: a review, J. Petrol. Sci. Eng., 181, 10.1016/j.petrol.2019.106187 · DOI

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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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