Prediction for Energy Demand Using 1D-CNN and Bidirectional LSTM in Internet of Energy
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Jung, Ho Cheul
(Dept. of Electronic Convergence Engineering, Kwangwoon University)
Sun, Young Ghyu (Dept. of Electronic Convergence Engineering, Kwangwoon University) Lee, Donggu (Dept. of Electronic Convergence Engineering, Kwangwoon University) Kim, Soo Hyun (Dept. of Electronic Convergence Engineering, Kwangwoon University) Hwang, Yu Min (Dept. of Electronic Convergence Engineering, Kwangwoon University) Sim, Issac (Dept. of Electronic Convergence Engineering, Kwangwoon University) Oh, Sang Keun (Dept. of Power Electronics, PLASPO Co., Ltd.) Song, Seung-Ho (Dept. of Electric Engineering, Kwangwoon University) Kim, Jin Young (Dept. of Electronic Convergence Engineering, Kwangwoon University) |
1 | F. Milletari, N. Navab and S. Ahmad, "V-Net: Fully convolutional neural networks for volumetric medical image segmentation," in Proc of the 2016 Fourth International Conference on 3D Vision (3DV), Stanford, CA, USA, pp. 25-28, 2016. DOI: 10.1109/3DV.2016.79 |
2 | A. Kumar and Gerhard P. Hancke, "An energy-efficient smart comfort-sensing system based on the ieee 1451 standard for green buildings," IEEE Sensors, vol. 14, no. 12, pp. 4245-4251, 2014. DOI: 10.1109/JSEN.2014.2356651 DOI |
3 | J. Dequaire, P. Ondruska, D. Rao, D. wang and I. posner, "Deep tracking in the wild: Endto-end tracking using recurrent neural networks," The International Journal of Robotics Research, vol. 37, no. 4, pp. 492-512, 2018. DOI: 10.1177/0278364917710543 DOI |
4 | M. O. Mario, "Human activity recognition based on single sensor square HV acceleration images and convolutional neural networks," IEEE Sensors, vol. 19, no. 4, pp. 1487-1498, 2018. DOI: 10.1109/JSEN.2018.2882943 DOI |
5 | D. Jeong, M. Baek and S. Lee, "Long-term prediction of vehicle trajectory based on a deep neural network," in Proc. of the 2017 International Conference on Information and Communication Technology Convergence (ICTC), Jeju, South Korea, pp. 725-727, 2017. DOI: 10.1109/ICTC.2017.8190764 |
6 | A. Tokgoz and G. Unal, "A RNN based time series approch for forecasting turkish electricity load," in Proc. of the 2018 26th Signal Processing and Communications Applications Conference(SIU), Izmir, Turkey, 2018. DOI: 10.1109/SIU.2018.8404313 |
7 | Z. Chen, Y. Liu and S. Liu, "Mechanical state prediction based on LSTM neural network," in Proc. of the 2017 36th Chinese Control Conference (CCC), Dalian, China, pp. 3876-3881, 2018. DOI: 10.23919/ChiCC.2017.8027963 |
8 | D. Niu, Z. Xia, Y. Liu, T. Cai and Y. Zhan, "Alstm: Adaptiv LSTM for durative Sequential data," in Proc of the 2018 30th International Conference on Tools with Artificial Intelligence (ICTAI), Volos, Greece, pp. 151-157, 2018. DOI: 10.1109/ICTAI.2018.00032 |
9 | R. FukuoKa, H. Suzuki, T. Kitajima, A. Kuwahara and T. Yasuno, "Wind speed prediction model using LSTM and 1D-CNN," J-STAGE, vol. 22, no. 4, pp. 207-210, 2018. DOI: 10.2299/jsp.22.207 |
10 | K. A. Althelaya, E. M. Alfy and S. Mohammed, "Evalutaion of bidirectional LSTM for short-and long-term stock market prediction," in Proc. of the 2018 9th International Conference on Information and Communication Systems(ICICS), Irbid, Jordan, pp. 151-156, 2018. DOI: 10.1109/IACS.2018.8355458 |
11 | A. Graves, N. Jaitly and A. R. Mohamed, "Hybrid speech recognition with deep bidirectional LSTM," in Proc. of the 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, Olomouc, Czech Repulic, pp. 273-278, 2013. DOI: 10.1109/ASRU.2013.6707742 |
12 | Y. Bengio, I. Goodfellow and A. Courville, Deep learning, MIT Press, 2016. |
13 | Y. H. Chen, T. Krishna, J. S. Emer and V. Sze, "Eyeriss: An energy-efficient reconfigurable accelerator for deep convolutional neural networks," IEEE Journal of Solid-State Circuits, vol. 52, no. 1, pp. 127-138, 2017. DOI: 10.1109/JSSC.2016.2616357 DOI |
14 | F. J. Ordonez and D. Roggen, "Deep convolutional and LSTM recurrent neural networks for multimodal wearable activity recognition," Sensors. pp. 3-9, 2016. DOI: 10.3390/s16010115 |
15 | T. D. Do, M. T. Duong, Q. V Dang and M. H. Le, "Real-time self-driving car navigation using deep neural network," in Proc. of the 2018 4th International Conference on Green Technology and Sustainable Development(GTSD), pp. 7-12, 2018. DOI: 10.1109/GTSD.2018.8595590 |
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