The DOI matches its Crossref record; 67 of the 67 references it cites were found in a registry or an index.
Energy meters evolution in smart grids: A review
Abstract
Abstract Intelligent Energy Networks are comprised of devices capable of fulfilling their functions in an energy-efficient fashion and with communication and remote control capabilities. Therefore, some of these devices, such as smart energy meters, become attractive for use in the power generation and distribution industry, achieving the vision of Smart Grids. However, many are the challenges that need to be overcome in order to reach a fully-functional and security-aware smart grid. Providing measurement, control, communication, power, display, and synchronization capabilities shall be no easy task for smart meters. In this context, this paper elaborates on a detailed description of the main functionalities that smart meters must provide, along with the analysis of existing solutions that make use of smart meters for smart grids. Moreover, open challenges in the topic are identified and discussed. By the end of this research piece, the reader should be able to have a detailed view of the capabilities already offered by smart meters and the ones they will have available in order to tackle the challenges smart grids present.
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
Olivares, D. E., Mehrizi-Sani, A., Etemadi, A. H., Canizares, C. A., Iravani, R., Kazerani, M., Hajimiragha, A. H., Gomis-Bellmunt, O., Saeedifard, M., Palma-Behnke, R., et al. (2014) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2013.2295514 · Cited by 3,137
Demand Side Management: Demand Response, Intelligent Energy Systems, and Smart Loads
Palensky, P., & Dietrich, D. (2011) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2011.2158841 · Cited by 2,927
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 response and smart grids – a survey
Siano, P. (2014) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2013.10.022 · Cited by 2,411
Demand side management: benefits and challenges
Strbac, G. (2008) · Energy Policy · doi:10.1016/j.enpol.2008.09.030 · Cited by 1,702
Hierarchical Structure of Microgrids Control System
Bidram, A., & Davoudi, A. (2012) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2012.2197425 · Cited by 1,515
Opportunities and Challenges of Wireless Sensor Networks in Smart Grid
Gungor, V. C., Lu, B., & Hancke, G. P. (2010) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2009.2039455 · Cited by 1,368
Cyber security in the Smart Grid: Survey and challenges
Wang, W., & Lu, Z. (2013) · Computer Networks · doi:10.1016/j.comnet.2012.12.017 · Cited by 1,123
Cited by
Hoang, A. T., Pham, V. V., & Nguyen, X. P. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2021.127161 · Cited by 663
Nižetić, S., Djilali, N., Papadopoulos, A., & Rodrigues, J. J. P. C. (2019) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2019.04.397 · Cited by 538
Self-citationStudy and analysis of SARIMA and LSTM in forecasting time series data
Kumar Dubey, A., Kumar, A., García-Díaz, V., Kumar Sharma, A., & Kanhaiya, K. (2021) · Sustainable Energy Technologies and Assessments · doi:10.1016/j.seta.2021.101474 · Cited by 357
Amran, Y. H. A., Amran, Y. H. M., Alyousef, R., & Alabduljabbar, H. (2020) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2019.119602 · Cited by 316
Blockchain in Smart Grids: A Review on Different Use Cases
Alladi, T., Chamola, V., Rodrigues, J. J. P. C., & Kozlov, S. A. (2019) · Sensors · doi:10.3390/s19224862 · Cited by 283
Self-citation
Metadata
- Authors
- Avancini, D. B., Rodrigues, J. J. P. C., Martins, S. G. B., Rabêlo, R. A. L., Al-Muhtadi, J., & Solic, P.
- Venue
- Journal of Cleaner Production
- Publisher
- Elsevier BV
- Published
- 2019-04
- Volume
- 217
- Pages
- 702-715
- ISSN
- 0959-6526 (ISSN-L)
- OpenAlex
- W2914242653
- Cited by
- 323
- References
- 67
- FWCI
- 15.51
- 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: Energy meters evolution in smart grids: A review. https://app.cochat.ai/papers/10.1016/j.jclepro.2019.01.229
- The paper
- Avancini, D. B., Rodrigues, J. J. P. C., Martins, S. G. B., Rabêlo, R. A. L., Al-Muhtadi, J., & Solic, P. (2019). Energy meters evolution in smart grids: A review. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2019.01.229
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.
