The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
A Comprehensive Review of Smart Energy Meters in Intelligent Energy Networks
Abstract
The significant increase in energy consumption and the rapid development of renewable energy, such as solar power and wind power, have brought huge challenges to energy security and the environment, which, in the meantime, stimulate the development of energy networks toward a more intelligent direction. Smart meters are the most fundamental components in the intelligent energy networks (IENs). In addition to measuring energy flows, smart energy meters can exchange the information on energy consumption and the status of energy networks between utility companies and consumers. Furthermore, smart energy meters can also be used to monitor and control home appliances and other devices according to the individual consumer's instruction. This paper systematically reviews the development and deployment of smart energy meters, including smart electricity meters, smart heat meters, and smart gas meters. By examining various functions and applications of smart energy meters, as well as associated benefits and costs, this paper provides insights and guidelines regarding the future development of smart meters.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Smart Grid — The New and Improved Power Grid: A Survey
Fang, X., Misra, S., Xue, G., & Yang, D. (2012) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2011.101911.00087 · Cited by 3,405
Farhangi, H. (2010) · IEEE Power and Energy Magazine · doi:10.1109/mpe.2009.934876 · Cited by 2,870
Smart Grid Technologies: Communication Technologies and Standards
Gungor, V. C., Sahin, D., Kocak, T., Ergut, S., Buccella, C., Cecati, C., & Hancke, G. P. (2011) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2011.2166794 · Cited by 2,688
Demand side management: benefits and challenges
Strbac, G. (2008) · Energy Policy · doi:10.1016/j.enpol.2008.09.030 · Cited by 1,702
Connolly, D., Lund, H., Mathiesen, B. V., Werner, S., Möller, B., Persson, U., Boermans, T., Trier, D., Østergaard, P. A., & Nielsen, S. (2014) · Energy Policy · doi:10.1016/j.enpol.2013.10.035 · Cited by 778
Smart meters for power grid: Challenges, issues, advantages and status
Depuru, S. S. S. R., Wang, L., & Devabhaktuni, V. (2011) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2011.02.039 · Cited by 567
Toward intelligent machine-to-machine communications in smart grid
Fadlullah, Z. M., Fouda, M. M., Kato, N., Takeuchi, A., Iwasaki, N., & Nozaki, Y. (2011) · IEEE Communications Magazine · doi:10.1109/mcom.2011.5741147 · Cited by 518
Securing smart grid: cyber attacks, countermeasures, and challenges
Li, X., Liang, X., Lu, R., Shen, X., Lin, X., & Zhu, H. (2012) · IEEE Communications Magazine · doi:10.1109/mcom.2012.6257525 · Cited by 403
Power Utility Nontechnical Loss Analysis With Extreme Learning Machine Method
Nizar, A. H., Dong, Z. Y., & Wang, Y. (2008) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2008.926431 · Cited by 342
Wennersten, R., Sun, Q., & Li, H. (2015) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2014.09.023 · Cited by 283
Self-citation
Cited by
Wang, W., Yuan, B., Sun, Q., & Wennersten, R. (2022) · Journal of Energy Storage · doi:10.1016/j.est.2022.104812 · Cited by 518
Self-citationChallenges, Opportunities and Future Directions of Smart Manufacturing: A State of Art Review
Phuyal, S., Bista, D., & Bista, R. (2020) · Sustainable Futures · doi:10.1016/j.sftr.2020.100023 · Cited by 396
Energy meters evolution in smart grids: A review
Avancini, D. B., Rodrigues, J. J. P. C., Martins, S. G. B., Rabêlo, R. A. L., Al-Muhtadi, J., & Solic, P. (2019) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2019.01.229 · Cited by 323
IoT-enabled smart grid via SM: An overview
Al-Turjman, F., & Abujubbeh, M. (2019) · Future Generation Computer Systems · doi:10.1016/j.future.2019.02.012 · Cited by 319
Key Management Systems for Smart Grid Advanced Metering Infrastructure: A Survey
Ghosal, A., & Conti, M. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2907650 · Cited by 267
Metadata
- Authors
- Sun, Q., Li, H., Ma, Z., Wang, C., Campillo, J., Zhang, Q., Wallin, F., & Guo, J.
- Venue
- IEEE Internet of Things Journal
- Published
- 2016-08
- Volume
- 3
- Issue
- 4
- Pages
- 464-479
- ISSN
- 2327-4662 (ISSN-L)
- OpenAlex
- W2343711956
- Cited by
- 332
- References
- 26
- FWCI
- 7.86
- Type
- journal article
- Language
- en
- Open access
- closed
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.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A Comprehensive Review of Smart Energy Meters in Intelligent Energy Networks. https://app.cochat.ai/papers/10.1109/jiot.2015.2512325
- The paper
- Sun, Q., Li, H., Ma, Z., Wang, C., Campillo, J., Zhang, Q., Wallin, F., & Guo, J. (2016). A Comprehensive Review of Smart Energy Meters in Intelligent Energy Networks. IEEE Internet of Things Journal. https://doi.org/10.1109/jiot.2015.2512325
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.