Implementation of Smart Metering System Based on Deep Learning |
Sun, Young Ghyu
(Dept. of Wireless Communications Engineering, KwangWoon University)
Kim, Soo Hyun (Dept. of Wireless Communications Engineering, KwangWoon University) Lee, Dong Gu (Dept. of Wireless Communications Engineering, KwangWoon University) Park, Sang Hoo (Dept. of Wireless Communications Engineering, KwangWoon University) Sim, Issac (Dept. of Wireless Communications Engineering, KwangWoon University) Hwang, Yu Min (Dept. of Wireless Communications Engineering, KwangWoon University) Kim, Jin Young (Dept. of Wireless Communications Engineering, KwangWoon University) |
1 | I. Colak, "Introduction to smart grid," in Proc. of 3rd International Smart Grid Workshop and Certificate Program ISGWCP'2016, pp. 30-34, 2016. DOI:10.1109/ISGWCP.2016.7548265 DOI |
2 | H. Yang, J. Zhang, J. Qiu, S. Zhang, M. Lai and Z. Y. Dong, "A practical pricing approach to smart gird demand response based load classification," IEEE Trans. Smart Gird, vol.9, no.1, pp. 179-190, 2018. DOI:10.1109/TSG.2016.2547883 DOI |
3 | S. Yao, Y. Zhao, A. Zhang, S. Hu, H. Shao, C. Zhang, L. Su and T. Abdelzaher, "Deep learning for the internet of things," IEEE Trans. Computer, vol.51, no.5, pp. 32-41, 2018. DOI:10.1109/MC.2018.2381131 DOI |
4 | Y. He, G. J. Mendis and J. Wei, "Real-time detection of false data injection attacks in smart grid: A deep learning-based intelligent mechanism," IEEE Trans. Smart Grid, vol.8, no.5, pp. 2505-2516, 2017. DOI:10.1109/TSG.2017.2703842 DOI |
5 | J. Zheng, D. W. Gao and L. Lin, "Smart meters in smart grid: an overview," in Proc. of 2013 IEEE Green Technologies Conference (GreenTech), pp. 57-64, 2013. DOI:10.1109/GreenTech.2013.17 DOI |
6 | A Joint Project of the EEI and AEIC Meter Committees, "Smart meters and smart meter systems: A metering industry perspective," Available at: http://www.aeic.org/meter_service/smartmetersfinal032511.pdf |
7 | H. Salehinejad, S. Sankar, J. Barfett, E. Colak and S. Valaee, "Recent advances in recurrent neural networks," arXiv preprint arXiv:1801.01078, 2018. |
8 | Y. Bottou, O. Chapelle, D. DeCoste and J. Weston, Large-Scale Kernel Machines, MIT Press, 2007. |
9 | I. Sutskever, "Training recurrent neural networks," Doctor of Philosophy thesis, University of Toronto, Toronto, 2013. |
10 | A. Pulver and S. Lyu, "LSTM with working memory." in Proc. of 2017 International Joint Conference on Neural Networks(IJCNN), Anchorage, USA, pp. 846-851, 2017. DOI:10.1109/IJCNN.2017.7965940 DOI |
11 | G. N. Srinivasa Prasanna, A. Lakshmi, S. Sumanth, V. Simha, J. Bapat, and G. Koomullil, "Data communication over the smart grid," in Proc. of IEEE International Symposium on Power Line Communications and Its Applications ISPLC, pp. 273-279, 2009. DOI:10.1109/ISPLC.2009.4913442 DOI |
12 | Q. Xiaoyun, K. Xiaoning, Z. Chao, J. Shuai and M. Xiuda, "Short-term prediction of wind power based on deep long short-term memory," in Proc. of 2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference(APPEEC), pp. 1148-1152, 2016. DOI:10.1109/APPEEC.2016.7779672 DOI |
13 | R. Morello, C. D. Capua, G. Fulco and S. C. Mukhopadhyay, "A smart power meter to monitor energy flow in smart grid: The role of advanced sensing and IoT in the electric grid of the future," IEEE Sensors Journal, vol.17, no.23, pp. 7828-7837, 2017. DOI |
14 | I. Goodfellow, Deep Learning, MIT Press, 2016. |