An Experimental Review on Deep Learning Architectures for Time Series Forecasting

22 March 2021

Pedro Lara-Benítez

Manuel Carranza-García

José Cristóbal Riquelme Santos

AI4TS

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Papers citing "An Experimental Review on Deep Learning Architectures for Time Series Forecasting"

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Bandwidth Reservation for Time-Critical Vehicular Applications: A Multi-Operator Environment Abdullah Al-Khatib Abdullah Ahmed Klaus Moessner Holger Timinger 42 0 0 22 Mar 2025
Mamba time series forecasting with uncertainty propagation Pedro Pessoa Paul Campitelli Douglas P. Shepherd S. Banu Ozkan Steve Pressé AI4TS Mamba 46 0 0 13 Mar 2025
xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories Maurice Kraus Felix Divo Devendra Singh Dhami Kristian Kersting AI4TS 41 2 0 22 Oct 2024
Constrained Recurrent Bayesian Forecasting for Crack Propagation Sara Yasmine Ouerk Olivier Vo Van Mouadh Yagoubi 32 0 0 18 Oct 2024
AI-Powered Energy Algorithmic Trading: Integrating Hidden Markov Models with Neural Networks Tiago Monteiro AIFin 19 0 0 29 Jul 2024
Survey and Taxonomy: The Role of Data-Centric AI in Transformer-Based Time Series Forecasting Jingjing Xu Caesar Wu Yuan-Fang Li Grégoire Danoy Pascal Bouvry AI4TS 40 1 0 29 Jul 2024
Enhancing Multistep Brent Oil Price Forecasting with a Multi-Aspect Metaheuristic Optimization Approach and Ensemble Deep Learning Models Mohammed Alruqimi L. D. Persio 28 2 0 15 Jul 2024
Persistent homology of featured time series data and its applications Eunwoo Heo Jae-Hun Jung 43 0 0 08 May 2024
ReCycle: Fast and Efficient Long Time Series Forecasting with Residual Cyclic Transformers Arvid Weyrauch T. Steens Oskar Taubert Benedikt Hanke Aslan Eqbal Ewa Götz Achim Streit Markus Goetz Charlotte Debus 33 2 0 06 May 2024
Deep Coupling Network For Multivariate Time Series Forecasting Kun Yi Qi Zhang Hui He Kaize Shi Liang Hu Ning An ZhenDong Niu AI4TS 44 5 0 23 Feb 2024
Hypercomplex neural network in time series forecasting of stock data R. Kycia Agnieszka Niemczynowicz AI4TS AIFin 36 3 0 09 Jan 2024
TSPP: A Unified Benchmarking Tool for Time-series Forecasting Jan Bkaczek Dmytro Zhylko Gilberto Titericz Sajad Darabi Jean-François Puget Izzy Putterman Dawid Majchrowski Anmol Gupta Kyle Kranen Pawel Morkisz AI4TS 28 1 0 28 Dec 2023
A Study of Quantisation-aware Training on Time Series Transformer Models for Resource-constrained FPGAs Tianheng Ling Chao Qian Lukas Einhaus Gregor Schiele 11 1 0 04 Oct 2023
1D-CapsNet-LSTM: A Deep Learning-Based Model for Multi-Step Stock Index Forecasting Cheng Zhang N. N. Sjarif Roslina Ibrahim AIFin AI4TS 25 7 0 03 Oct 2023
Unified Long-Term Time-Series Forecasting Benchmark Wenzhuo Zhou Szymon Haponiuk AI4TS 31 2 0 27 Sep 2023
Rail Crack Propagation Forecasting Using Multi-horizons RNNs Sara Yasmine Ouerk Olivier Vo Van Mouadh Yagoubi 17 2 0 04 Sep 2023
Unsupervised Representation Learning for Time Series: A Review Qianwen Meng Hangwei Qian Yong Liu Yonghui Xu Zhiqi Shen Li-zhen Cui AI4TS 32 17 0 03 Aug 2023
A Distance Correlation-Based Approach to Characterize the Effectiveness of Recurrent Neural Networks for Time Series Forecasting Christopher Salazar A. Banerjee AI4TS 26 2 0 28 Jul 2023
Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting Xinli Yu Zheng Chen Yuan Ling Shujing Dong Zongying Liu Yanbin Lu AIFin AI4TS 125 69 0 19 Jun 2023
DiffLoad: Uncertainty Quantification in Load Forecasting with Diffusion Model Zhixian Wang Qingsong Wen Chaoli Zhang Liang Sun Yi Wang DiffM 10 3 0 31 May 2023
Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020-2022 Chen Zhang N. N. Sjarif Roslina Ibrahim AI4TS 30 6 0 21 Apr 2023
Continuous time recurrent neural networks: overview and application to forecasting blood glucose in the intensive care unit O. Fitzgerald O. Perez-Concha B. Gallego-Luxan Alejandro Metke-Jimenez Lachlan Rudd Louisa R Jorm BDL OOD AI4TS 36 0 0 14 Apr 2023
Ensemble Modeling for Time Series Forecasting: an Adaptive Robust Optimization Approach Dimitris Bertsimas L. Boussioux AI4TS 35 4 0 09 Apr 2023
Temporal Saliency Detection Towards Explainable Transformer-based Timeseries Forecasting Nghia Duong-Trung Kiran Madhusudhanan Danh Le-Phuoc AI4TS 38 4 0 15 Dec 2022
cs-net: structural approach to time-series forecasting for high-dimensional feature space data with limited observations Weiyu Zong Mingqian Feng Griffin Heyrich Peter Chin BDL AI4TS 24 0 0 05 Dec 2022
Federated Learning for 5G Base Station Traffic Forecasting V. Perifanis Nikolaos Pavlidis R. Koutsiamanis P. Efraimidis AI4TS 49 41 0 28 Nov 2022
A Time Series is Worth 64 Words: Long-term Forecasting with Transformers Yuqi Nie Nam H. Nguyen Phanwadee Sinthong Jayant Kalagnanam AIFin AI4TS 41 1,210 0 27 Nov 2022
On the use of learning-based forecasting methods for ameliorating fashion business processes: A position paper Geri Skenderi Christian Joppi Matteo Denitto Marco Cristani AI4TS AI4CE 16 1 0 09 Nov 2022
Bayesian Neural Networks for Macroeconomic Analysis Niko Hauzenberger Florian Huber K. Klieber Massimiliano Marcellino BDL 34 6 0 09 Nov 2022
Experimental study of time series forecasting methods for groundwater level prediction Michael Franklin Mbouopda Thomas Guyet Nicolas Labroche Abel Henriot 26 1 0 28 Sep 2022
IoT Data Analytics in Dynamic Environments: From An Automated Machine Learning Perspective Li Yang Abdallah Shami 21 52 0 16 Sep 2022
Multi-Spatio-temporal Fusion Graph Recurrent Network for Traffic forecasting Wei Zhao Shiqi Zhang B. Zhou Bei Wang AI4TS 21 8 0 03 May 2022
A data filling methodology for time series based on CNN and (Bi)LSTM neural networks Kostas Tzoumpas Aaron Estrada Pietro Miraglio P. Zambelli AI4TS 19 10 0 21 Apr 2022
Performance of Deep Learning models with transfer learning for multiple-step-ahead forecasts in monthly time series M. Solís L. Calvo-Valverde AI4TS 25 7 0 18 Mar 2022
Human Silhouette and Skeleton Video Synthesis through Wi-Fi signals D. Avola Marco Cascio Luigi Cinque Alessio Fagioli G. Foresti 52 8 0 11 Mar 2022
A comparative study of non-deep learning, deep learning, and ensemble learning methods for sunspot number prediction Yuchen Dang Ziqi Chen Heng Li Hai Shu ELM BDL 24 26 0 11 Mar 2022
Well Googled is Half Done: Multimodal Forecasting of New Fashion Product Sales with Image-based Google Trends Geri Skenderi Christian Joppi Matteo Denitto Marco Cristani AI4TS 27 24 0 20 Sep 2021
Comparing Prophet and Deep Learning to ARIMA in Forecasting Wholesale Food Prices L. Menculini A. Marini Massimiliano Proietti A. Garinei Alessio Bozza Cecilia Moretti M. Marconi 16 50 0 23 Jul 2021
A Comparative Analysis of Machine Learning and Grey Models Gang He Khwaja Mutahir Ahmad Wenxin Yu Xiaochuan Xu J. Kumar SyDa AI4TS 31 0 0 02 Apr 2021
DEALIO: Data-Efficient Adversarial Learning for Imitation from Observation F. Torabi Garrett A. Warnell Yufei Xu 21 27 0 31 Mar 2021
Variance Reduced Training with Stratified Sampling for Forecasting Models Yucheng Lu Youngsuk Park Lifan Chen Bernie Wang Christopher De Sa Dean Phillips Foster AI4TS 38 17 0 02 Mar 2021
VPNet: Variable Projection Networks P. Kovács Gergő Bognár Christian Huber M. Huemer 17 26 0 28 Jun 2020
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 264 13,368 0 25 Aug 2014