The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Review of Internet of Things (IoT) in Electric Power and Energy Systems
Abstract
A transformation is underway in electric power and energy systems (EPESs) to provide clean distributed energy for sustainable global economic growth. Internet of Things (IoT) is at the forefront of this transformation imparting capabilities, such as real-time monitoring, situational awareness and intelligence, control, and cyber security to transform the existing EPES into intelligent cyber-enabled EPES, which is more efficient, secure, reliable, resilient, and sustainable. Additionally, digitizing the electric power ecosystem using IoT improves asset visibility, optimal management of distributed generation, eliminates energy wastage, and create savings. IoT has a significant impact on EPESs and offers several opportunities for growth and development. There are several challenges with the deployment of IoT for EPESs. Viable solutions need to be developed to overcome these challenges to ensure continued growth of IoT for EPESs. The advancements in computational intelligence capabilities can evolve an intelligent IoT system by emulating biological nervous systems with cognitive computation, streaming and distributed analytics including at the edge and device levels. This review paper provides an assessment of the role, impact and challenges of IoT in transforming EPESs.
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Cites
Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications
Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., & Ayyash, M. (2015) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2444095 · Cited by 8,630
Context Aware Computing for The Internet of Things: A Survey
Perera, C., Zaslavsky, A., Christen, P., & Georgakopoulos, D. (2014) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2013.042313.00197 · Cited by 2,861 · cited 1×
“• Using context-aware computing to better understand the IoT sensor data [79].”
BackgroundFairness in wireless networks: Issues, measures and challenges
Shi, H., Prasad, R. V., Onur, E., & Niemegeers, I. G. M. M. (2014) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2013.050113.00015 · Cited by 446
Fog computing architecture to enable consumer centric internet of things services
Datta, S. K., Bonnet, C., & Haerri, J. (2015) · 2015 International Symposium on Consumer Electronics (ISCE) · doi:10.1109/isce.2015.7177778 · Cited by 172
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Opportunities and Challenges for Organic Electrodes in Electrochemical Energy Storage
Poizot, P., Gaubicher, J., Renault, S., Dubois, L., Liang, Y., & Yao, Y. (2020) · Chemical Reviews · doi:10.1021/acs.chemrev.9b00482 · Cited by 963
Cyber-security on smart grid: Threats and potential solutions
Gunduz, M. Z., & Das, R. (2020) · Computer Networks · doi:10.1016/j.comnet.2019.107094 · Cited by 717
Antonopoulos, I., Robu, V., Couraud, B., Kirli, D., Norbu, S., Kiprakis, A., Flynn, D., Elizondo-Gonzalez, S., & Wattam, S. (2020) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2020.109899 · Cited by 656
IoT in smart cities: A survey of technologies, practices and challenges
Syed, A. S., Sierra-Sosa, D., Kumar, A., & Elmaghraby, A. (2021) · Smart Cities · doi:10.3390/smartcities4020024 · Cited by 527
Tushar, W., Yuen, C., Saha, T. K., Morstyn, T., Chapman, A. C., Alam, M. J. E., Hanif, S., & Poor, H. V. (2021) · Applied Energy · doi:10.1016/j.apenergy.2020.116131 · Cited by 523
Metadata
- Authors
- Bedi, G., Venayagamoorthy, G. K., Singh, R., Brooks, R. R., & Wang, K.-C.
- Venue
- IEEE Internet of Things Journal
- Published
- 2018-04
- Volume
- 5
- Issue
- 2
- Pages
- 847-870
- ISSN
- 2327-4662 (ISSN-L)
- OpenAlex
- W2789731659
- Cited by
- 755
- References
- 4
- FWCI
- 25.50
- Type
- journal article
- Language
- en
- Open access
- closed
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- Bedi, G., Venayagamoorthy, G. K., Singh, R., Brooks, R. R., & Wang, K.-C. (2018). Review of Internet of Things (IoT) in Electric Power and Energy Systems. IEEE Internet of Things Journal. https://doi.org/10.1109/jiot.2018.2802704
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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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