Principles and Algorithms for Forecasting Groups of Time Series: Locality and Globality

2 August 2020

Papers citing "Principles and Algorithms for Forecasting Groups of Time Series: Locality and Globality"

17 / 17 papers shown

Title
Do global forecasting models require frequent retraining? Marco Zanotti 39 0 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 Feng Xia AI4TS AI4CE 50 4 0 13 Mar 2025
Forecasting with Hyper-Trees Alexander März Kashif Rasul 44 0 0 13 May 2024
RNN-BOF: A Multivariate Global Recurrent Neural Network for Binary Outcome Forecasting of Inpatient Aggression Aidan Quinn M. Simmons B. Spivak Christoph Bergmeir 11 0 0 02 Dec 2023
On Forecast Stability Rakshitha Godahewa Christoph Bergmeir Zeynep Erkin Baz Chengjun Zhu Zhangdi Song Salvador Garcia Dario Benavides 14 2 0 26 Oct 2023
The Capacity and Robustness Trade-off: Revisiting the Channel Independent Strategy for Multivariate Time Series Forecasting Lu Han Han-Jia Ye De-Chuan Zhan AI4TS 23 83 0 11 Apr 2023
Frugal day-ahead forecasting of multiple local electricity loads by aggregating adaptive models Guillaume Lambert Bachir Hamrouche Joseph de Vilmarest AI4TS 18 3 0 16 Feb 2023
A Concurrent CNN-RNN Approach for Multi-Step Wind Power Forecasting Syed Kazmi Berk Görgülü Mucahit Cevik M. Baydogan 25 5 0 02 Jan 2023
Experimental study of time series forecasting methods for groundwater level prediction Michael Franklin Mbouopda Thomas Guyet Nicolas Labroche Abel Henriot 21 1 0 28 Sep 2022
Feature-based intermittent demand forecast combinations: bias, accuracy and inventory implications Li Li Yanfei Kang F. Petropoulos Feng Li 34 11 0 18 Apr 2022
Neural forecasting at scale Philippe Chatigny Shengrui Wang Jean-Marc Patenaude and Boris N. Oreshkin AI4TS 30 1 0 20 Sep 2021
A comparison of LSTM and GRU networks for learning symbolic sequences Roberto Cahuantzi Xinye Chen S. Güttel 20 135 0 05 Jul 2021
Time Series Forecasting via Learning Convolutionally Low-Rank Models Guangcan Liu AI4TS 26 12 0 23 Apr 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 35 17 0 02 Mar 2021
Global Models for Time Series Forecasting: A Simulation Study Hansika Hewamalage Christoph Bergmeir Kasun Bandara AI4TS 18 57 0 23 Dec 2020
An Accurate and Fully-Automated Ensemble Model for Weekly Time Series Forecasting Rakshitha Godahewa Christoph Bergmeir Geoffrey I. Webb Pablo Montero-Manso AI4TS 11 10 0 16 Oct 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 25 176 0 21 Apr 2020