J.-F. Toubeau, Z. De Grève, and F. Vallée, "Medium-Term Multi-Market Optimization for Virtual Power Plants: A Stochastic-Based Decision Environment," IEEE Trans. Power Systems, in press.
H. Jaeger, "Discovering multiscale dynamical features with hierarchical echo state networks," Technical report 10, School of Engineering and Science, Jacobs University, 2007.
S. Soltani, "On the use of wavelet decomposition for time series prediction," Neurocomput., vol. 48, pp. 267-277, Oct. 2002.
Y. Peng, M. Lei, J.-B. Li, and X.-Y. Peng, "A novel hybridization of echo state networks and multiplicative seasonal ARIMA model for mobile communication traffic series forecasting," Neural Comput. Appl., vol. 24, pp. 883-890, 2014.
D. Kaur, T. T. Lie, N. K. C. Nair and B. Valles, "Wind Speed Forecasting Using Hybrid Wavelet Transform-ARMA Techniques," AIMS Energy, vol. 3, pp. 13-24, 2015.
J. Chung, C. Gulcehre, K. Cho and Y. Bengio, "Gated Feedback Recurrent Neural Networks," In Proceedings of the 32nd ICML, pp. 2067-2075, Lille, France, 2015.
A. Graves, A. Mohamed and G. Hinton, "Speech Recognition with Deep Recurrent Neural Networks," ICASSP, Vancouver, Canada, 2013.
Y. Wu, et al, "Google's neural machine translation system: Bridging the gap between human and machine translation," CoRR, abs/1609.08144, 2016.
Y. LeCun, Y. Bengio and G. Hinton, "Deep learning," Nature, vol. 521, pp. 436-444, 2015.
S. Hochreiter, Y. Bengio, P. Frasconi, and J. Schmidhuber, "Gradient flow in recurrent nets: the difficulty of learning long-term dependencies," A Field Guide to Dynamical Recurrent Neural Networks, 2001.
S. Hochreiter and J. Schmidhuber, "Long Short-Term Memory," Neural Computation, vol. 9, no. 8, pp. 1735-1780, 1997.
F. Gers, N. Schraudolph, and J. Schmidhuber, "Learning Precise Timing with LSTM Recurrent Networks," Journal of Machine Learning Research, vol. 3, pp. 115-143, 2002.
P. Sugiartawan, R. Pulungan, A. K. Sari, "Prediction by a Hybrid of Wavelet Transform and Long-Short-Term-Memory Neural Network," International Journal of Advanced Computer Science and Applications, vol. 8, no. 2, 2017.
M. Claesen, J. Simm, D. Popovic, Y. Moreau and B. De Moor, "Easy hyperparameter search using Optunity," In Proceedings of the International Workshop on Technical Computing for Machine Learning and Mathematical Engineering, 2014.
A. Graves and J. Schmidhuber, "Framewise Phoneme Classification with Bidirectional LSTM and Other Neural Network Architectures," Neural Networks, vol. 18, no. 5-6, pp. 602-610, 2005.
R. J. Williams and D. Zipser, "Gradient-based learning algorithms for recurrent networks and their computational complexity," In Chauvin, Y. and Rumelhart, D. E., editors, Back-propagation: Theory, Architectures and Applications, pp. 433-486, 1995.
