The DOI matches its Crossref record; 126 of the 126 references it cites were found in a registry or an index.
A survey on smart grid technologies and applications
Abstract
The Smart Grid is an advanced digital two-way power flow power system capable of self-healing, adaptive, resilient and sustainable with foresight for prediction under different uncertainties. In this paper, a survey on various Smart Grid enabling technologies, Smart Grid metering and communication, cloud computing in Smart Grid and Smart Grid applications are explored in detail. Opportunities and future of Smart Grid is also described in this paper. For Smart grid enabling technologies Smart meters, smart sensors, vehicle to grid, plug in hybrid electric vehicle technology, sensor and actuator networks are explored. Advanced metering infrastructure, intelligent electronic devices, phasor measurement units, wide area measurement systems, local area network, home access network, neighborhood area network, wide area networks and cloud computing are explored for Smart Grid metering and communication. Home and building automation, smart substation, feeder automation is explored for smart grid applications. Associations of initial studies for the next step in smart grid applications will provide an economic benefit for the authorities in the long term, and will help to establish standards to be compatible with every application so that all smart grid applications can be coordinated under the control of the same authorities. Therefore, this study is expected to be an important guiding source for researchers and engineers studying the smart grid. It also helps transmission and distribution system operators to follow the right path as they are transforming their classical grids to smart grids.
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 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
A Survey on Smart Grid Communication Infrastructures: Motivations, Requirements and Challenges
Yan, Y., Qian, Y., Sharif, H., & Tipper, D. (2013) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2012.021312.00034 · Cited by 1,315
AC-microgrids versus DC-microgrids with distributed energy resources: A review
Justo, J. J., Mwasilu, F., Lee, J., & Jung, J.-W. (2013) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2013.03.067 · Cited by 1,245
Mwasilu, F., Justo, J. J., Kim, E.-K., Do, T. D., & Jung, J.-W. (2014) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2014.03.031 · Cited by 1,162
Coordinated Charging of Plug-In Hybrid Electric Vehicles to Minimize Distribution System Losses
Sortomme, E., Hindi, M. M., MacPherson, S. D. J., & Venkata, S. S. (2011) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2010.2090913 · Cited by 1,155
Smart Distribution: Coupled Microgrids
Lasseter, R. H. (2011) · Proceedings of the IEEE · doi:10.1109/jproc.2011.2114630 · Cited by 1,130
Sepehri, A., & Sarrafzadeh, M.-H. (2018) · Chemical Engineering and Processing - Process Intensification · doi:10.1016/j.cep.2018.04.006 · Cited by 1,108
Smart Transmission Grid: Vision and Framework
Li, F., Qiao, W., Sun, H., Wan, H., Wang, J., Xia, Y., Xu, Z., & Zhang, P. (2010) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2010.2053726 · Cited by 961
A review of the development of Smart Grid technologies
Tuballa, M. L., & Abundo, M. L. (2016) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2016.01.011 · Cited by 884
A Survey on the Electrification of Transportation in a Smart Grid Environment
Su, W., Eichi, H., Zeng, W., & Chow, M.-Y. (2012) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2011.2172454 · Cited by 811
Cited by
A critical review of the integration of renewable energy sources with various technologies
Erdiwansyah, Mahidin, Husin, H., Nasaruddin, Zaki, M., & Muhibbuddin (2021) · Protection and Control of Modern Power Systems · doi:10.1186/s41601-021-00181-3 · Cited by 473
Strielkowski, W., Vlasov, A., Selivanov, K., Muraviev, K., & Shakhnov, V. (2023) · Energies · doi:10.3390/en16104025 · Cited by 237
Green Industrial Internet of Things from a smart industry perspectives
Tabaa, M., Monteiro, F., Bensag, H., & Dandache, A. (2020) · Energy Reports · doi:10.1016/j.egyr.2020.09.022 · Cited by 127
Split Federated Learning for 6G Enabled-Networks: Requirements, Challenges, and Future Directions
Hafi, H., Brik, B., Frangoudis, P. A., Ksentini, A., & Bagaa, M. (2024) · IEEE Access · doi:10.1109/access.2024.3351600 · Cited by 90
Alam, M. M., Hossain, M. J., Habib, M. A., Arafat, M. Y., & Hannan, M. A. (2025) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2024.115251 · Cited by 76
Metadata
- Authors
- Dileep, G.
- Venue
- Renewable Energy
- Publisher
- Elsevier BV
- Published
- 2020-02
- Volume
- 146
- Pages
- 2589-2625
- ISSN
- 0960-1481 (ISSN-L)
- OpenAlex
- W2969583644
- Cited by
- 1,020
- References
- 126
- FWCI
- 36.30
- 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 survey on smart grid technologies and applications. https://app.cochat.ai/papers/10.1016/j.renene.2019.08.092
- The paper
- Dileep, G. (2020). A survey on smart grid technologies and applications. Renewable Energy. https://doi.org/10.1016/j.renene.2019.08.092
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.
