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The Transactions of
the Korean Institute of Electrical Engineers
KIEE
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ISSN : 1975-8359 (Print)
ISSN : 2287-4364 (Online)
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The Transactions of the Korean Institute of Electrical Engineers
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Trans. Korean. Inst. Elect. Eng.
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2021-11
(Vol.70 No.11)
10.5370/KIEE.2021.70.11.1617
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References
1
KEPCO department of distribution planning division of distribution technology, 2016, Development of high-precision distribution functionalistic equipment, pp. 2
2
G. H. Won, I. Y. Chung, H. K. Kang, 2020, Distribution System Voltage Control based on Forecast using Machine Learning to Increase the Hosting Capacity of Renewables, Trans. KIEE, Vol. 69, pp. 1165-1173
3
J. W. Lee, H. J. Kim, M. K. Kim, 2020, Design of Short-Term Load Forecasting based on ANN Using Bigdata, Trans. KIEE, Vol. 69, pp. 792-769
4
L. Voynichka, Machine learning for the smart grid, http:// cs229.stanford.edu/proj2014/Iliana%20Voynichka,%20Machine%20Learning%20for%20the%20Smart%20Grid.pdf
5
D. L. Marino, K. Amarasinghe, M. Manic, 2016, Building energy load forecasting using deep neural networks, IECON 2016-42nd Annual Conference of the IEEE Industrial Electronics Society
6
Pedro Paulo Marques do Nascimento, 2016, Application of deep learning techniques on NILM, M. S. thesis
7
A. Gensler, J. Henze, B. Sick, N. Raabe, 2016, Deep learning for solar power forecasting-an approach using AutoEncoder and LSTM neural networks, IEEE International Conference on Systems, Vol. man