Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions

2 September 2019

Papers citing "Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions"

22 / 72 papers shown

Title
A deep generative model for probabilistic energy forecasting in power systems: normalizing flows Jonathan Dumas Antoine Wehenkel Bertrand Cornélusse Antonio Sutera AI4TS 32 82 0 17 Jun 2021
Monash Time Series Forecasting Archive Rakshitha Godahewa Christoph Bergmeir Geoffrey I. Webb Rob J. Hyndman Pablo Montero-Manso AI4TS 26 146 0 14 May 2021
Machine Learning (ML)-Centric Resource Management in Cloud Computing: A Review and Future Directions Tahseen Khan Wenhong Tian Rajkumar Buyya 20 97 0 09 May 2021
An Experimental Review on Deep Learning Architectures for Time Series Forecasting Pedro Lara-Benítez Manuel Carranza-García José Cristóbal Riquelme Santos AI4TS 27 306 0 22 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
Ensembles of Localised Models for Time Series Forecasting Rakshitha Godahewa Kasun Bandara Geoffrey I. Webb Slawek Smyl Christoph Bergmeir AI4TS 35 43 0 30 Dec 2020
Global Models for Time Series Forecasting: A Simulation Study Hansika Hewamalage Christoph Bergmeir Kasun Bandara AI4TS 39 57 0 23 Dec 2020
Forecasting: theory and practice F. Petropoulos D. Apiletti Vassilios Assimakopoulos M. Z. Babai Devon K. Barrow ... J. Arenas Xiaoqian Wang R. L. Winkler Alisa Yusupova F. Ziel AI4TS 41 365 0 04 Dec 2020
PyLightcurve-torch: a transit modelling package for deep learning applications in PyTorch M. Morvan A. Tsiaras N. Nikolaou Ingo P. Waldmann 27 13 0 03 Nov 2020
An Accurate and Fully-Automated Ensemble Model for Weekly Time Series Forecasting Rakshitha Godahewa Christoph Bergmeir Geoffrey I. Webb Pablo Montero-Manso AI4TS 24 10 0 16 Oct 2020
Time series forecasting with Gaussian Processes needs priors Giorgio Corani A. Benavoli Marco Zaffalon GP AI4TS 17 28 0 17 Sep 2020
Improving the Accuracy of Global Forecasting Models using Time Series Data Augmentation Kasun Bandara Hansika Hewamalage Yuan-Hao Liu Yanfei Kang Christoph Bergmeir AI4TS 26 115 0 06 Aug 2020
Complex Sequential Data Analysis: A Systematic Literature Review of Existing Algorithms Kudakwashe Dandajena I. Venter Mehrdad Ghaziasgar Reg Dodds AI4TS 31 2 0 22 Jul 2020
Simulation and Optimisation of Air Conditioning Systems using Machine Learning Rakshitha Godahewa Chang Deng Arnaud Prouzeau Christoph Bergmeir AI4CE 23 9 0 27 Jun 2020
Forecasting with sktime: Designing sktime's New Forecasting API and Applying It to Replicate and Extend the M4 Study M. Löning Franz J. Király AI4TS SyDa 14 4 0 16 May 2020
Towards Accurate Predictions and Causal 'What-if' Analyses for Planning and Policy-making: A Case Study in Emergency Medical Services Demand Kasun Bandara Christoph Bergmeir Sam Campbell Deborah Scott D. Lubman 24 11 0 25 Apr 2020
Deep Learning for Time Series Forecasting: Tutorial and Literature Survey Konstantinos Benidis Syama Sundar Rangapuram Valentin Flunkert Bernie Wang Danielle C. Maddix ... David Salinas Lorenzo Stella François-Xavier Aubet Laurent Callot Tim Januschowski AI4TS 27 176 0 21 Apr 2020
Error-feedback stochastic modeling strategy for time series forecasting with convolutional neural networks Xinze Zhang Kun He Yukun Bao AI4TS 27 9 0 03 Feb 2020
For2For: Learning to forecast from forecasts S. Zhao Ying Feng AI4TS 8 2 0 14 Jan 2020
LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series with Multiple Seasonal Patterns Kasun Bandara Christoph Bergmeir Hansika Hewamalage AI4TS 19 138 0 10 Sep 2019
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 220 7,930 0 17 Aug 2015
Depth-Gated LSTM Kaisheng Yao Trevor Cohn Katerina Vylomova Kevin Duh Chris Dyer VLM 22 73 0 16 Aug 2015