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

The DOI matches its Crossref record; 216 of the 218 references it cites were found in a registry or an index.

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

Open access

Overview

Integrity signals

Registry

Crossref · 10.1016/j.jclepro.2021.125834

Cites

216 of 216 references verified0 citation errors · 0 not checkable

Statistics

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Verification

Claims the paper makes

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Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

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Show all 218 references

2 of the 218 references couldn’t be matched to a known paper.

Research works printed but not linked: 8

  1. Elsevier, 2018, Artificial Intelligence: how knowledge is created, transferred, and used, Artif. Intell. Resour. Cent., 1
  2. 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
  3. 2019, SDG7: data and projections, SDG7 Data Proj, 1–6
  4. 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
  5. Mearian, 2017, Data storage goes from $1M to 2 cents per gigabyte, Computerworld, 2
  6. Ransbotham, 2017, Is your business ready for artificial intelligence? Jt. BCG-MIT sloan manag, Rev. Surv. impact Artif. Intell. Bus.
  7. 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
  8. 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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Metadata

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
Venue
Journal of Cleaner Production
Publisher
Elsevier BV
Published
2021-03
Volume
289
Pages
125834
ISSN
0959-6526 (ISSN-L)
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
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

About these checks

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.

Statistics and arithmetic are recomputed, not judged.

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