Title
On the retraining frequency of global forecasting models Marco Zanotti 104 2 0 01 May 2025
Deep Learning for Time Series Forecasting: A Survey X. Kong Zhenghao Chen Weiyao Liu Kaili Ning Lechao Zhang Syauqie Muhammad Marier Yichen Liu Yuhao Chen Xiwei Xu AI4TS AI4CE 106 7 0 13 Mar 2025
Efficient mid-term forecasting of hourly electricity load using generalized additive models Manuel Kansy F. Ziel AI4TS 79 3 0 27 May 2024
Using ARIMA to Predict the Expansion of Subscriber Data Consumption Mike Nkongolo 80 17 0 23 Apr 2024
Time Series Analysis in Compressor-Based Machines: A Survey Francesca Forbicini Nicolò Oreste Pinciroli Vago Piero Fraternali AI4CE 89 0 0 27 Feb 2024
Sparse Transformer with Local and Seasonal Adaptation for Multivariate Time Series Forecasting Yifan Zhang Rui Wu S. Dascalu Frederick C. Harris AI4TS 95 4 0 11 Dec 2023
Generative learning for nonlinear dynamics William Gilpin AI4CE PINN 129 27 0 07 Nov 2023
Counterfactual Explanations for Time Series Forecasting Zhendong Wang Ioanna Miliou Isak Samsten P. Papapetrou BDL AI4TS OOD 82 5 0 12 Oct 2023
A Natural Gas Consumption Forecasting System for Continual Learning Scenarios based on Hoeffding Trees with Change Point Detection Mechanism Radek Svoboda Sebastian Basterrech Jędrzej Kozal Jan Platoš Michal Wo'zniak 100 4 0 07 Sep 2023
Improving the forecast accuracy of wind power by leveraging multiple hierarchical structure Lucas English M. Abolghasemi AI4CE 80 4 0 07 Aug 2023
Hierarchical forecasting for aggregated curves with an application to day-ahead electricity price auctions Paul Ghelasi F. Ziel AI4TS 38 2 0 25 May 2023
A Joint Time-frequency Domain Transformer for Multivariate Time Series Forecasting Yushu Chen Shengzhuo Liu Jinzhe Yang Hao Jing Wenlai Zhao Guang-Wu Yang AI4TS 67 23 0 24 May 2023
A feature selection method based on Shapley values robust to concept shift in regression Carlos Sebastián Carlos E. González-Guillén 114 7 0 28 Apr 2023
Brain-Inspired Spiking Neural Network for Online Unsupervised Time Series Prediction Biswadeep Chakraborty Saibal Mukhopadhyay 68 7 0 10 Apr 2023
W-Transformers : A Wavelet-based Transformer Framework for Univariate Time Series Forecasting Zakaria Elabid Tanujit Chakraborty Abdenour Hadid AI4TS 117 21 0 08 Sep 2022
Signature-based validation of real-world economic scenarios Hervé Andrès Alexandre Boumezoued B. Jourdain 168 6 0 02 Aug 2022
Distributional neural networks for electricity price forecasting Grzegorz Marcjasz Michał Narajewski R. Weron F. Ziel 86 56 0 06 Jul 2022
fETSmcs: Feature-based ETS model component selection Lingzhi Qi Xixi Li Qiang Wang Suling Jia 73 2 0 26 Jun 2022
Epicasting: An Ensemble Wavelet Neural Network (EWNet) for Forecasting Epidemics Madhurima Panja Tanujit Chakraborty U. Kumar Nan Liu 74 20 0 21 Jun 2022
A review of machine learning concepts and methods for addressing challenges in probabilistic hydrological post-processing and forecasting Georgia Papacharalampous Hristos Tyralis AI4CE 84 28 0 17 Jun 2022
Forecast combinations: an over 50-year review Xiaoqian Wang Rob J. Hyndman Feng Li Yanfei Kang AI4TS 93 153 0 09 May 2022
Feature-based intermittent demand forecast combinations: bias, accuracy and inventory implications Li Li Yanfei Kang F. Petropoulos Feng Li 105 11 0 18 Apr 2022
A Hybrid Framework for Sequential Data Prediction with End-to-End Optimization M. Aydın Suleyman S. Kozat BDL 73 5 0 25 Mar 2022
Forecast Evaluation for Data Scientists: Common Pitfalls and Best Practices Hansika Hewamalage Klaus Ackermann Christoph Bergmeir AI4TS 171 99 0 21 Mar 2022
Review of automated time series forecasting pipelines Stefan Meisenbacher Marian Turowski Kaleb Phipps Martin Ratz D. Muller V. Hagenmeyer Ralf Mikut TPM AI4TS 63 54 0 03 Feb 2022
Expert Aggregation for Financial Forecasting Carl Remlinger M. Brière C. Alasseur Joseph Mikael AI4TS AIFin 110 7 0 25 Nov 2021
Privacy-preserving Federated Learning for Residential Short Term Load Forecasting Joaquín Delgado Fernández Sergio Potenciano Menci Chul Min Lee Gilbert Fridgen 74 59 0 17 Nov 2021