APPLICATION ANALYSIS OF AMI SYSTEM IN CLOUD ENVIRONMENT
DOI:
https://doi.org/10.24867/01BE39BatinicKeywords:
AMI system, CloudAbstract
This paper describes the AMI architecture and presents the problem of handling a large amount of data. After that, the software solution of the AMI system is presented, where a part of the applications is on the Cloud. Also, the paper presents and analyzes the results of testing the selected set of functionalities of the implemented solution.
References
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[2] G. R. Barai, S. Krishnan, and B. Venkatesh, “Smart metering and functionalities of smart meters in smart grid - A review”, Electrical Power and Energy Conference (EPEC), 2015.
[3] J. Feng, “An analytics of electricity consumption characteristics based on principal component analysis”, IOP Conference Series: Earth and Environmental Science, pp. 0–6, 2018.
[4] U.S. Department of Energy, “Advanced Metering Infrastructure and Customer Systems: Results from the Smart Grid Investment Grant Program”, Off. Electr. Deliv. Energy Reliab., pp. 1–98, 2016.
[5] H. Bai, “Programming Microsoft Azure Service Fabric”, Microsoft Press, 2016.
[6] R. Q. Hu, J. Zhou, R. Q. Hu, and S. Member, “Scalable Distributed Communication Architectures to Support Advanced Metering Infrastructure in Smart Grid”, IEEE Transactions on Parallel and Distributed Systems, vol. 23, no. 9, pp. 1632–1642, 2012.
[7] M. Yigit, V. C. Gungor, and S. Baktir, “Cloud Computing for Smart Grid applications”, Comput. Networks, vol. 70, pp. 312–329, 2014.
[2] G. R. Barai, S. Krishnan, and B. Venkatesh, “Smart metering and functionalities of smart meters in smart grid - A review”, Electrical Power and Energy Conference (EPEC), 2015.
[3] J. Feng, “An analytics of electricity consumption characteristics based on principal component analysis”, IOP Conference Series: Earth and Environmental Science, pp. 0–6, 2018.
[4] U.S. Department of Energy, “Advanced Metering Infrastructure and Customer Systems: Results from the Smart Grid Investment Grant Program”, Off. Electr. Deliv. Energy Reliab., pp. 1–98, 2016.
[5] H. Bai, “Programming Microsoft Azure Service Fabric”, Microsoft Press, 2016.
[6] R. Q. Hu, J. Zhou, R. Q. Hu, and S. Member, “Scalable Distributed Communication Architectures to Support Advanced Metering Infrastructure in Smart Grid”, IEEE Transactions on Parallel and Distributed Systems, vol. 23, no. 9, pp. 1632–1642, 2012.
[7] M. Yigit, V. C. Gungor, and S. Baktir, “Cloud Computing for Smart Grid applications”, Comput. Networks, vol. 70, pp. 312–329, 2014.
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Published
2018-12-11
Issue
Section
Electrotechnical and Computer Engineering
