Using the internet of things in smart energy systems and networks
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A defining feature of digitalized green energy systems is their connectivity with the internet, which enhances their intelligence and adaptability.
“A defining feature of digitalized green energy systems is their connectivity with the internet, which enhances their intelligence and adaptability [107].”
From Analysis of Digital Twin Applications in Energy Efficiency: A Systematic Review (2025) · cites this paper as [107]
Cites
A review on buildings energy consumption information
Pérez-Lombard, L., Ortiz, J., & Pout, C. (2008) · Energy and Buildings · doi:10.1016/j.enbuild.2007.03.007 · Cited by 6,649 · see citing works
Internet of Things in industries: A survey
Xu, L. D., He, W., & Li, S. (2014) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2014.2300753 · Cited by 5,172 · see citing works
Artificial intelligence in sustainable energy industry: Status Quo, challenges and opportunities
Ahmad, T., Zhang, D., Huang, C., Zhang, H., Dai, N., Song, Y., & Chen, H. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2021.125834 · Cited by 1,258 · see citing works
Self-citationQuantum computing for energy systems optimization: Challenges and opportunities
Ajagekar, A., & You, F. (2019) · Energy · doi:10.1016/j.energy.2019.04.186 · Cited by 289 · see citing works
Zakeri, B., Syri, S., & Rinne, S. (2015) · Energy · doi:10.1016/j.energy.2015.01.007 · Cited by 107 · see citing works
Flagged first, then by citations
Cited by
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Ahmad, T., Madonski, R., Zhang, D., Huang, C., & Mujeeb, A. (2022) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2022.112128 · Cited by 711 · see citing works
Self-citationZhu, H., Goh, H. H., Zhang, D., Ahmad, T., Liu, H., Wang, S., Li, S., Liu, T., Dai, H., & Wu, T. (2022) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2021.129809 · Cited by 131 · see citing works
Self-citationAnalysis of Digital Twin Applications in Energy Efficiency: A Systematic Review
Ba, L., Tangour, F., El Abbassi, I., & Absi, R. (2025) · Sustainability · doi:10.3390/su17083560 · Cited by 96 · see citing works
A Survey on IoT-Enabled Smart Grids: Technologies, Architectures, Applications, and Challenges
Kirmani, S., Mazid, A., Khan, I. A., & Abid, M. (2022) · Sustainability · doi:10.3390/su15010717 · Cited by 94 · see citing works
Design and Implementation of a Cloud-IoT-Based Home Energy Management System
Condon, F., Martínez, J. M., Eltamaly, A. M., Kim, Y.-C., & Ahmed, M. A. (2022) · Sensors · doi:10.3390/s23010176 · Cited by 68 · see citing works
Moveh, S., Merchán-Cruz, E. A., Abuhussain, M., Dodo, Y. A., Alhumaid, S., & Alhamami, A. H. (2025) · Energies · doi:10.3390/en18061468 · Cited by 27 · see citing works
Hosseini Dehshiri, S. J., Mostafaeipour, A., & Amiri, M. (2024) · Journal of Environmental Management · doi:10.1016/j.jenvman.2024.122785 · Cited by 17 · see citing works
- Authors
- Ahmad, T., & Zhang, D.
- Affiliations
- Jinan University (CN)
- Guangxi University (CN)
- Corresponding author
- Ahmad, Tanveer
- Venue
- Sustainable Cities and Society
- Publisher
- Elsevier BV
- Published
- 2021-05
- Volume
- 68
- Pages
- 102783
- ISSN
- 2210-6707 (ISSN-L)
- OpenAlex
- W3132959010
- Cited by
- 332
- References
- 5
- Citations by year
- 2026: 37 · 2025: 106 · 2024: 88 · 2023: 50 · 2022: 38 · 2021: 13
- FWCI
- 13.90
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Sustainable Cities and Society (publishedVersion)
- Funders
- Ministry of Education of the People's Republic of China (KFKT202006)
- National Key Research and Development Program of China (2019YFE0118000)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid and Power Systems
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Keywords
- Internet of Things, smart energy systems, smart grid, energy management systems, energy forecasting, state estimation, anomaly detection, data mining, data visualization, cloud computing, edge computing, quantum computing, renewable energy integration, load demand management, energy pricing, IoT market growth, IoT devices
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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