Abualigah, Laith ; Zitar, Raed Abu ; Almotairi, Khaled H. ; Hussein, Ahmad MohdAziz ; Abd Elaziz, Mohamed ; Nikoo, Mohammad Reza Wind, solar, and photovoltaic renewable energy systems with and without energy storage optimization: A survey of advanced machine learning and deep learning techniques. 2022 Energies. 15 578-
Agga, Ali ; Abbou, Ahmed ; Labbadi, Moussa ; El Houm, Yassine Short-term self consumption PV plant power production forecasts based on hybrid CNN-LSTM, ConvLSTM models. 2021 Renew Energy. 177 101-112
- Alkhayat, Ghadah ; Mehmood, Rashid A review and taxonomy of wind and solar energy forecasting methods based on deep learning. 2021 Energy AI. 4 -
Paper not yet in RePEc: Add citation now
- Amarasinghe, Kasun ; Marino, Daniel L. ; Manic, Milos Deep neural networks for energy load forecasting. 2017 En : 2017 IEEE 26th international symposium on industrial electronics. IEEE:
Paper not yet in RePEc: Add citation now
- Baytas Inci M, Xiao Cao, Zhang Xi, Wang Fei, Jain Anil K, Zhou Jiayu. Patient Subtyping via Time-Aware LSTM Networks. In: Proceedings of the 23rd ACM SIGKDD international conference on knowledge discovery and data mining. 2017, p. 65–74.
Paper not yet in RePEc: Add citation now
- Berkooz, Gal ; Holmes, Philip ; Lumley, John L. The proper orthogonal decomposition in the analysis of turbulent flows. 1993 Annu Rev Fluid Mech. 25 539-575
Paper not yet in RePEc: Add citation now
- Box, George E.P. ; Jenkins, Gwilym M. ; Reinsel, Gregory C. ; Ljung, Greta M. Time series analysis: forecasting and control. 2015 John Wiley & Sons:
Paper not yet in RePEc: Add citation now
- Cao, Wei ; Wang, Dong ; Li, Jian ; Zhou, Hao ; Li, Lei ; Li, Yitan BRITS: Bidirectional recurrent imputation for time series. 2018 Adv Neural Inf Process Syst. 31 -
Paper not yet in RePEc: Add citation now
- Chen, Ricky T.Q. ; Rubanova, Yulia ; Bettencourt, Jesse ; Duvenaud, David K. Neural ordinary differential equations. 2018 Adv Neural Inf Process Syst. 31 -
Paper not yet in RePEc: Add citation now
- Chung, Junyoung ; Gulcehre, Caglar ; Cho, KyungHyun ; Bengio, Yoshua Empirical evaluation of gated recurrent neural networks on sequence modeling. 2014 :
Paper not yet in RePEc: Add citation now
- Daubechies, Ingrid Ten lectures on wavelets. 1992 SIAM:
Paper not yet in RePEc: Add citation now
- Desai, Abhyuday ; Freeman, Cynthia ; Wang, Zuhui ; Beaver, Ian TimeVAE: A variational auto-encoder for multivariate time series generation. 2021 :
Paper not yet in RePEc: Add citation now
- Ding, Xiaoou ; Wang, Hongzhi ; Su, Jiaxuan ; Li, Zijue ; Li, Jianzhong ; Gao, Hong Cleanits: a data cleaning system for industrial time series. 2019 Proc VLDB Endow. 12 1786-1789
Paper not yet in RePEc: Add citation now
- Elsner, James B. ; Tsonis, Anastasios A. Singular spectrum analysis: a new tool in time series analysis. 1996 Springer Science & Business Media:
Paper not yet in RePEc: Add citation now
Fang, Lei ; He, Bin A deep learning framework using multi-feature fusion recurrent neural networks for energy consumption forecasting. 2023 Appl Energy. 348 -
Forootan, Mohammad Mahdi ; Larki, Iman ; Zahedi, Rahim ; Ahmadi, Abolfazl Machine learning and deep learning in energy systems: A review. 2022 Sustainability. 14 4832-
Gong, Gangjun ; An, Xiaonan ; Mahato, Nawaraj Kumar ; Sun, Shuyan ; Chen, Si ; Wen, Yafeng Research on short-term load prediction based on seq2seq model. 2019 Energies. 12 3199-
- Goodfellow, Ian ; Pouget-Abadie, Jean ; Mirza, Mehdi ; Xu, Bing ; Warde-Farley, David ; Ozair, Sherjil Generative adversarial nets. 2014 Adv Neural Inf Process Syst. 27 -
Paper not yet in RePEc: Add citation now
- Guckenheimer, John Dynamics of the van der pol equation. 1980 IEEE Trans Circ Syst. 27 983-989
Paper not yet in RePEc: Add citation now
- Habiba, Mansura ; Pearlmutter, Barak A. Neural ordinary differential equation based recurrent neural network model. 2020 En : 2020 31st Irish signals and systems conference. IEEE:
Paper not yet in RePEc: Add citation now
Hao, Yichen ; Xie, Xinyu ; Zhao, Pu ; Wang, Xiaofang ; Ding, Jiaqi ; Xie, Rong Forecasting three-dimensional unsteady multi-phase flow fields in the coal-supercritical water fluidized bed reactor via graph neural networks. 2023 Energy. 282 -
- He Kaiming, Zhang Xiangyu, Ren Shaoqing, Sun Jian. Deep residual learning for image recognition. In: Proceedings of the IEEE conference on computer vision and pattern recognition. 2016, p. 770–8.
Paper not yet in RePEc: Add citation now
- Hochreiter, Sepp ; Schmidhuber, Jürgen Long short-term memory. 1997 Neural Comput. 9 1735-1780
Paper not yet in RePEc: Add citation now
- Jiang, Xiaomo ; Mahadevan, Sankaran ; Adeli, Hojjat Bayesian wavelet packet denoising for structural system identification. 2007 Struct Control Health Monitor Official J Int Assoc Struct Control Monitor Eur Assoc Control Struct. 14 333-356
Paper not yet in RePEc: Add citation now
- Kanda, Neha ; Negi, H.S. ; Rishi, Madhuri S. ; Shekhar, M.S. Performance of various techniques in estimating missing climatological data over snowbound mountainous areas of karakoram himalaya. 2018 Meteorol Appl. 25 337-349
Paper not yet in RePEc: Add citation now
- Kingma, Diederik P. ; Ba, Jimmy Adam: A method for stochastic optimization. 2014 :
Paper not yet in RePEc: Add citation now
- Kingma, Diederik P. ; Welling, Max Auto-encoding variational Bayes. 2013 :
Paper not yet in RePEc: Add citation now
- Koopman, Bernard O. Hamiltonian systems and transformation in Hilbert space. 1931 Proc Natl Acad Sci. 17 315-318
Paper not yet in RePEc: Add citation now
- Kutz, J. Nathan ; Brunton, Steven L. ; Brunton, Bingni W. ; Proctor, Joshua L. Dynamic Mode Decomposition: Data-Driven Modeling of Complex Systems. 2016 SIAM:
Paper not yet in RePEc: Add citation now
- Lange, Henning ; Brunton, Steven L. ; Kutz, J. Nathan From Fourier to koopman: Spectral methods for long-term time series prediction. 2021 J Mach Learn Res. 22 1881-1918
Paper not yet in RePEc: Add citation now
- LeCun, Yann ; Bottou, Léon ; Bengio, Yoshua ; Haffner, Patrick Gradient-based learning applied to document recognition. 1998 Proc IEEE. 86 2278-2324
Paper not yet in RePEc: Add citation now
- Lepot, Mathieu ; Aubin, Jean-Baptiste ; Clemens, François H.L.R. Interpolation in time series: An introductive overview of existing methods, their performance criteria and uncertainty assessment. 2017 Water. 9 796-
Paper not yet in RePEc: Add citation now
- Li, Qianting ; Xu, Yong VS-GRU: A variable sensitive gated recurrent neural network for multivariate time series with massive missing values. 2019 Appl Sci. 9 3041-
Paper not yet in RePEc: Add citation now
- Linsay, Paul S. An efficient method of forecasting chaotic time series using linear interpolation. 1991 Phys Lett A. 153 353-356
Paper not yet in RePEc: Add citation now
- Liu, Yong ; Li, Chenyu ; Wang, Jianmin ; Long, Mingsheng Koopa: Learning non-stationary time series dynamics with Koopman predictors. 2023 :
Paper not yet in RePEc: Add citation now
- Lu, Youjun ; Guo, Liejin ; Zhang, Ximin ; Yan, Qiuhui Thermodynamic modeling and analysis of biomass gasification for hydrogen production in supercritical water. 2007 Chem Eng J. 131 233-244
Paper not yet in RePEc: Add citation now
- Luo, Yonghong ; Cai, Xiangrui ; Zhang, Ying ; Xu, Jun Multivariate time series imputation with generative adversarial networks. 2018 Adv Neural Inf Process Syst. 31 -
Paper not yet in RePEc: Add citation now
Lusch, Bethany ; Kutz, J. Nathan ; Brunton, Steven L. Deep learning for universal linear embeddings of nonlinear dynamics. 2018 Nature Commun. 9 4950-
- Mallen, Alex T. ; Lange, Henning ; Kutz, J. Nathan Deep probabilistic koopman: Long-term time-series forecasting under periodic uncertainties. 2023 Int J Forecast. -
Paper not yet in RePEc: Add citation now
- Nguyen, Phuoc ; Tran, Truyen ; Venkatesh, Svetha Resset: A recurrent model for sequence of sets with applications to electronic medical records. 2018 En : 2018 International joint conference on neural networks. IEEE:
Paper not yet in RePEc: Add citation now
Ramos, Paulo Vitor B. ; Villela, Saulo Moraes ; Silva, Walquiria N. ; Dias, Bruno H. Residential energy consumption forecasting using deep learning models. 2023 Appl Energy. 350 -
- Roberts, Stephen ; Osborne, Michael ; Ebden, Mark ; Reece, Steven ; Gibson, Neale ; Aigrain, Suzanne Gaussian processes for time-series modelling. 2013 Phil Trans R Soc A. 371 -
Paper not yet in RePEc: Add citation now
- Rojas, Carlos J.G. ; Dengel, Andreas ; Ribeiro, Mateus Dias Reduced-order model for fluid flows via neural ordinary differential equations. 2021 :
Paper not yet in RePEc: Add citation now
- Rubanova, Yulia ; Chen, Ricky T.Q. ; Duvenaud, David K. Latent ordinary differential equations for irregularly-sampled time series. 2019 Adv Neural Inf Process Syst. 32 -
Paper not yet in RePEc: Add citation now
- Rumelhart, David E. ; Hinton, Geoffrey E. ; Williams, Ronald J. Learning representations by back-propagating errors. 1986 Nature. 323 533-536
Paper not yet in RePEc: Add citation now
- Schmid, Peter J. Dynamic mode decomposition of numerical and experimental data. 2010 J Fluid Mech. 656 5-28
Paper not yet in RePEc: Add citation now
- Schmid, Peter J. ; Li, Larry ; Juniper, Matthew P. ; Pust, O. Applications of the dynamic mode decomposition. 2011 Theor Comput Fluid Dyn. 25 249-259
Paper not yet in RePEc: Add citation now
- Shukla, Satya Narayan ; Marlin, Benjamin M. A survey on principles, models and methods for learning from irregularly sampled time series. 2020 :
Paper not yet in RePEc: Add citation now
- Tan Qingxiong, Ye Mang, Yang Baoyao, Liu Siqi, Ma Andy Jinhua, Yip Terry Cheuk-Fung, et al. DATA-GRU: Dual-Attention Time-Aware Gated Recurrent Unit for Irregular Multivariate Time Series. In: Proceedings of the AAAI conference on artificial intelligence, vol. 34. 2020, p. 930–7.
Paper not yet in RePEc: Add citation now
- Tian, Yan ; Zhang, Kaili ; Li, Jianyuan ; Lin, Xianxuan ; Yang, Bailin LSTM-based traffic flow prediction with missing data. 2018 Neurocomputing. 318 297-305
Paper not yet in RePEc: Add citation now
- Van der Walt, Stefan ; Schönberger, Johannes L. ; Nunez-Iglesias, Juan ; Boulogne, François ; Warner, Joshua D. ; Yager, Neil Scikit-image: image processing in Python. 2014 PeerJ. 2 -
Paper not yet in RePEc: Add citation now
- Wang, Xi ; Wang, Chen Time series data cleaning with regular and irregular time intervals. 2020 :
Paper not yet in RePEc: Add citation now
- Wang, Zhou ; Bovik, Alan C. ; Sheikh, Hamid R. ; Simoncelli, Eero P. Image quality assessment: from error visibility to structural similarity. 2004 IEEE Trans Image Process. 13 600-612
Paper not yet in RePEc: Add citation now
- Weerakody, Philip B. ; Wong, Kok Wai ; Wang, Guanjin ; Ela, Wendell A review of irregular time series data handling with gated recurrent neural networks. 2021 Neurocomputing. 441 161-178
Paper not yet in RePEc: Add citation now
Xie, Xinyu ; Wang, Xiaofang ; Zhao, Pu ; Hao, Yichen ; Xie, Rong ; Liu, Haitao Learning time-aware multi-phase flow fields in coal-supercritical water fluidized bed reactor with deep learning. 2023 Energy. 263 -
- Yuan, Xiaofeng ; Li, Lin ; Wang, Kai ; Wang, Yalin Sampling-interval-aware LSTM for industrial process soft sensing of dynamic time sequences with irregular sampling measurements. 2021 IEEE Sens J. 21 10787-10795
Paper not yet in RePEc: Add citation now
- Zeng Ailing, Chen Muxi, Zhang Lei, Xu Qiang. Are Transformers Effective for Time Series Forecasting?. In: Proceedings of the AAAI conference on artificial intelligence, vol. 37. 2023, p. 11121–8.
Paper not yet in RePEc: Add citation now
- Zhang, Yi ; Shi, Xiaohan ; Zhang, Hengxu ; Cao, Yongji ; Terzija, Vladimir Review on deep learning applications in frequency analysis and control of modern power system. 2022 Int J Electr Power Energy Syst. 136 -
Paper not yet in RePEc: Add citation now