The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Smart Grids: A Cyber–Physical Systems Perspective
Open accessAbstract
Smart grids are electric networks that employ advanced monitoring, control, and communication technologies to deliver reliable and secure energy supply, enhance operation efficiency for generators and distributors, and provide flexible choices for prosumers. Smart grids are a combination of complex physical network systems and cyber systems that face many technological challenges. In this paper, we will first present an overview of these challenges in the context of cyber-physical systems. We will then outline potential contributions that cyber-physical systems can make to smart grids, as well as the challenges that smart grids present to cyber-physical systems. Finally, implications of current technological advances to smart grids are outlined.
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Cites
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
Wu, X., Zhu, X., Wu, G.-Q., & Ding, W. (2014) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2013.109 · Cited by 2,410
Aggregate flexibility of thermostatically controlled loads
Hao, H., Sanandaji, B. M., Poolla, K., & Vincent, T. L. (2015) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2014.2328865 · Cited by 733
Is disaggregation the holy grail of energy efficiency? The case of electricity
Carrie Armel, K., Gupta, A., Shrimali, G., & Albert, A. (2013) · Energy Policy · doi:10.1016/j.enpol.2012.08.062 · Cited by 595
Cited by
Digital twin: values, challenges and enablers from a modeling perspective
Rasheed, A., San, O., & Kvamsdal, T. (2020) · IEEE Access · doi:10.1109/access.2020.2970143 · Cited by 1,952
Wide and Deep Convolutional Neural Networks for Electricity-Theft Detection to Secure Smart Grids
Zheng, Z., Yang, Y., Niu, X., Dai, H.-N., & Zhou, Y. (2018) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2017.2785963 · Cited by 788
Multiclass Energy Management for Peer-to-Peer Energy Trading Driven by Prosumer Preferences
Morstyn, T., & McCulloch, M. D. (2019) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2018.2834472 · Cited by 533
Shi, Z., Yao, W., Li, Z., Zeng, L., Zhao, Y., Zhang, R., Tang, Y., & Wen, J. (2020) · Applied Energy · doi:10.1016/j.apenergy.2020.115733 · Cited by 327
Cybersecurity of industrial cyber-physical systems: A review
Kayan, H., Nunes, M., Rana, O., Burnap, P., & Perera, C. (2022) · ACM Computing Surveys · doi:10.1145/3510410 · Cited by 261
Metadata
- Authors
- Yu, X., & Xue, Y.
- Venue
- Proceedings of the IEEE
- Published
- 2016-05
- Volume
- 104
- Issue
- 5
- Pages
- 1058-1070
- ISSN
- 0018-9219 (ISSN-L)
- 1558-2256
- OpenAlex
- W2324861975
- Cited by
- 717
- References
- 4
- FWCI
- 55.83
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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