Artificial Neural Network-Based Smart Energy Meter Monitoring and Control Using Global System for Mobile Communication Module-Reference-Cited by-同舟云学术

Artificial Neural Network-Based Smart Energy Meter Monitoring and Control Using Global System for Mobile Communication Module

Published:2019-11-28 Issue: Volume: Page:1-8
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
Short-container-title:

Author:

Ashwini Kumari P.,Geethanjali P.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-0184-5_1

Reference14 articles.

1. Ashna, K., George, S.N.: GSM based automatic energy meter reading system with instant billing. In: 2013 International Multi-conference on Automation, Computing, Communication, Control and Compressed Sensing (iMac4s), pp. 65–72. IEEE, 22 Mar 2013

2. Zou, L., Chu, S., Guo, B.: The design of prepayment polyphase smart electricity meter system. In: 2010 International Conference on Intelligent Computing and Integrated Systems (ICISS), pp. 430–432. IEEE, 22 Oct 2010

3. Kurkute, S.R., Girase, G., Patil, P.: Automatic energy meter reading system using GSM technology. Telecommun. Syst. 4(3) (2016)

4. Kim, D.Y., Kim, Y.C.: In: IEEE International Conference on Smart Energy Grid Engineering (SEGE) (2015)

5. Morello, R., et al.: A smart power meter to monitor energy flow in smart grids: the role of advanced sensing and IoT in the electric grid of the future. IEEE Sens. J. 17(23), 7828–7837 (2017)

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