The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Smart Electricity Meter Data Intelligence for Future Energy Systems: A Survey
Abstract
Smart meters have been deployed in many countries across the world since early 2000s. The smart meter as a key element for the smart grid is expected to provide economic, social, and environmental benefits for multiple stakeholders. There has been much debate over the real values of smart meters. One of the key factors that will determine the success of smart meters is smart meter data analytics, which deals with data acquisition, transmission, processing, and interpretation that bring benefits to all stakeholders. This paper presents a comprehensive survey of smart electricity meters and their utilization focusing on key aspects of the metering process, different stakeholder interests, and the technologies used to satisfy stakeholder interests. Furthermore, the paper highlights challenges as well as opportunities arising due to the advent of big data and the increasing popularity of cloud environments.
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Cites
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Internet of Things in industries: A survey
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Is disaggregation the holy grail of energy efficiency? The case of electricity
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Review of security issues in industrial networks
Cheminod, M., Durante, L., & Valenzano, A. (2013) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2012.2198666 · Cited by 349 · cited 1×
“lent as government-backed initiatives expand deployment of the meters to millions of homes across the country [88], [89].”
BackgroundInvestigation of domestic load control to provide primary frequency response using smart meters
Samarakoon, K., Ekanayake, J., & Jenkins, N. (2012) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2011.2173219 · Cited by 200
Cluster Analysis of Smart Metering Data: An Implementation in Practice
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Cited by
Review of Smart Meter Data Analytics: Applications, Methodologies, and Challenges
Wang, Y., Chen, Q., Hong, T., & Kang, C. (2019) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2018.2818167 · Cited by 1,369
Smart Grids: A Cyber–Physical Systems Perspective
Yu, X., & Xue, Y. (2016) · Proceedings of the IEEE · doi:10.1109/jproc.2015.2503119 · Cited by 717
Self-citationDifferential Privacy Techniques for Cyber Physical Systems: A Survey
Hassan, M. U., Rehmani, M. H., & Chen, J. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2944748 · Cited by 564
Hossain, E., Khan, I., Un-Noor, F., Sikander, S. S., & Sunny, M. S. H. (2019) · IEEE Access · doi:10.1109/access.2019.2894819 · Cited by 513
Study 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
Metadata
- Authors
- Alahakoon, D., & Yu, X.
- Venue
- IEEE Transactions on Industrial Informatics
- Published
- 2016-02
- Volume
- 12
- Issue
- 1
- Pages
- 425-436
- ISSN
- 1551-3203 (ISSN-L)
- 1941-0050
- OpenAlex
- W2028788479
- Cited by
- 596
- References
- 7
- FWCI
- 18.12
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
