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The Transactions of
the Korean Institute of Electrical Engineers
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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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2022-01
(Vol.71 No.1)
10.5370/KIEE.2022.71.1.218
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References
1
R. J. Hyndman, G. Athanasopoulos, Accessed on Aug 3 2021, Forecasting: principles and practice, 2nd edition OTexts: Melbourne
2
David E. Rumelhart, E. Hinton Geoffrey, J. Williams Ronald, 1986, Learning representations by back-propagating errors, Nature 323.6088, pp. 533-536
3
Sepp Hochreiter, Schmidhuber Jurgen, 1997, Long shortterm memory, Neural computation 9.8, pp. 1735-1780
4
J. Chung, C. Gulcehre, K. Cho, Y. Bengio, Dec 2014, Empirical evaluation of gated recurrent neural networks on sequence modeling, in NIPS Workshop on Deep Learning
5
Y. Cho, 2014, Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation, In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 1724-1734
6
I. Sutskever, O. Vinyals, 2014, Sequence to sequence learning with neural networks, In Advances in neural information processing systems, pp. 3104-3112
7
Vinod Nair, E. Hinton Geoffrey, 2010, Rectified linear units improve restricted boltzmann machines, ICML
8
K. He, X. Zhang, S. Ren, 2015, Delving deep into rectifiers: Surpassing human-level performance on imagenet classification, In Proceedings of the IEEE international conference on computer vision, pp. 1026-1034
9
Kingma Diederik, Ba Jimmy, 2015, Adam: A method for stochastic optimization, in ICLR
10
Mingxing Tan, Le Quoc, 2019, EfficientNet: Rethinking model scaling for convolutional neural networks, International Conference on Machine Learning PMLR
11
Yein Kim, Seeun Lee, Youngsung Kwon, 2020, Proposal of a Step-by-Step Optimized Campus Power Forecast Model using CNN-LSTM Deep Learning, Journal of the Korea Academia-Industrial cooperation Society, Vol. 21, No. 10, pp. 8-15
12
Kwang Ho Kim, Byunghoon Chang, Hwang Kyu Choi, 2019, Deep Learning Based Short-Term Electric Load Forecasting Models using One-Hot Encoding, Journal of IKEEE, Vol. 23, No. (3), pp. 852-857
13
Dohyun Kim, Ho Jin Jo, Myung Su Kim, Jae Hyung Roh, Jong-Bae Park, 2019, Short-Term Load Forecasting Based on Deep Learning Model, The transactions of The Korean Institute of Electrical Engineers, Vol. 68, No. (9), pp. 1094-1099
14
Dzmitry Bahdanau, Kyunghyun Cho, Yoshua Bengio, 2015, Neural Machine Translation by Jointly Learning to Align and Translate, CoRR
15
Ashish Vaswani, 2017, Attention is all you need, Advances in neural information processing systems
16
K. Devlin, 2019, BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding, in Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Vol. volume 1 (long and short papers), pp. 4171-4186