Open Access
| Numéro |
Sci. Tech. Energ. Transition
Volume 78, 2023
|
|
|---|---|---|
| Numéro d'article | 28 | |
| Nombre de pages | 8 | |
| DOI | https://doi.org/10.2516/stet/2023030 | |
| Publié en ligne | 13 octobre 2023 | |
- Alireza Ghasempour (2019) Internet of things in smart grid: architecture, applications, services, key technologies, and challenges, Department of Information and Communication Technology, University of Applied Science and Technology. [Google Scholar]
- Bari A., Jiang J., Saad W., Jaekel A. (2014) Challenges in the smart grid applications: an overview, Int. J. Distrib. Sens. Netw. 2014, 974682. https://doi.org/10.1155/2014/974682. [CrossRef] [Google Scholar]
- Mackay M., Bouhafs F., Merabti M. (2014) Communication challenges and solutions in the smart grid, Springer New York Heidelberg Dordrecht London. [Google Scholar]
- U.S. Department of Energy, Advanced metering infrastructure and customer systems: Results from the Smart Grid Investment Grant program, September, 2016. Available at: https://www.energy.gov/sites/prod/files/2016/12/f34/AMI%20Summary%20Report_09-26-16.pdf. [Google Scholar]
- Pant V., Jain S., Chauhan R. (2017) Integration of fog and IoT model for the future smart grid, in: 2017 International Conference on Emerging Trends in Computing and Communication Technologies (ICETCCT), Dehradun, India, IEEE, pp. 1–6. https://doi.org/10.1109/ICETCCT.2017.8280341. [Google Scholar]
- Faruque M.A.A., Vatanparvar K. (2016) Energy management-as-a-service over fog computing platform, IEEE Internet Things J. 3, 2, 161–169. https://doi.org/10.1109/JIOT.2015.2471260. [CrossRef] [Google Scholar]
- Lyu L., Nandakumar K., Rubinstein B., Jin J., Bedo J., Palaniswami M. (2018) PPFA: privacy preserving fog-enabled aggregation in smart grid, IEEE Trans. Ind. Inf. 14, 8, 3733–3744. [CrossRef] [Google Scholar]
- Janina P. (2012) Cloud computing and smart grids, Database Syst. J. 3, 3, 57–56. [Google Scholar]
- Yue S., Xuesong Q., Shaoyong G. (2015) Genetic algorithm-based redundancy optimization method for smart grid communication network, China Commun. 12, 8, 73–84. https://doi.org/10.1109/CC.2015.7224708. [Google Scholar]
- Rabindra K.B., Satish K.G., Gujji G.R., Meenakshi P., Harishchandra D., Kunal M., Vinay K. (2017) FogGrid: leveraging fog computing for enhanced smart grid network, in: INDICON-2017 14TH IEEE India Council International Conference 2017, December 15–17, IIT Roorkee, India, pp. 15–17. [Google Scholar]
- Le T.N., Chin W.L., Truong D.K., Nguyen T.H. (2016) Advanced metering infrastructure based on smart meters in smart grid, in: Smart Metering Technology and Services, Ch. 3, IntechOpen, Rijeka. [Google Scholar]
- Barai G., Kaamran R. (2014) Optimization of distributed communication architectures in advanced metering infrastructure of smart grid, in: 2014 IEEE 27th Canadian Conference on Electrical and Computer Engineering (CCECE). https://doi.org/10.1109/CCECE.2014.6901098. [Google Scholar]
- Barolli L., Kryvinska N., Enokido T., Takizawa M. (2019) Advances in network-based information system, in: The 21st International Conference on Network-Based Information Systems (NBiS-2018), Springer Nature Switzerland AG. [Google Scholar]
- Murthy Balijepalli V.S.K., Pradhan V., Khaparde S.A., Shereef R.M. (2011) Review of demand response under smart grid paradigm, in: ISGT2011-India, Kollam, India, IEEE, pp. 236–243. [CrossRef] [Google Scholar]
- Salah Farrag A.A., Mahmoud S.A., El-Horbaty E.S.M (2015) Intelligent cloud algorithms for load balancing problems: a survey, in: 2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS), Cairo, Egypt, IEEE, pp. 210–216. [Google Scholar]
- Junaid A., Arsalan T., Hafiz S.M., Awais A., Abbas Z.K., Pervaz M. (2021) Cloud- and fog-integrated smart grid model for efficient resource utilisation, Sensors 21, 7846. https://doi.org/10.3390/s21237846. [CrossRef] [PubMed] [Google Scholar]
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