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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"

50 / 51 papers shown

Title
The cost of ensembling: is it always worth combining? Marco Zanotti AI4TS 163 1 0 05 Jun 2025
On the retraining frequency of global forecasting models Marco Zanotti 83 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 95 7 0 13 Mar 2025
TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysis Jiexi Liu Meng Cao Songcan Chen AI4TS 133 2 0 17 Dec 2024
Local vs. Global Models for Hierarchical Forecasting Zhao Yingjie Mahdi Abolghasemi AI4TS 53 1 0 10 Nov 2024
On the Regularization of Learnable Embeddings for Time Series Forecasting L. Butera G. Felice Andrea Cini Cesare Alippi AI4TS 99 0 0 18 Oct 2024
Designing Time-Series Models With Hypernetworks & Adversarial Portfolios Filip Stanek AI4TS 79 0 0 29 Jul 2024
Flusion: Integrating multiple data sources for accurate influenza predictions E. Ray Yijin Wang Russell D. Wolfinger N. Reich 55 4 0 26 Jul 2024
Forecasting with Hyper-Trees Alexander März Kashif Rasul 130 0 0 13 May 2024
Hierarchical Neural Additive Models for Interpretable Demand Forecasts Leif Feddersen Catherine Cleophas BDL AI4TS 50 1 0 05 Apr 2024
From Similarity to Superiority: Channel Clustering for Time Series Forecasting Jialin Chen J. E. Lenssen Aosong Feng Weihua Hu Matthias Fey Leandros Tassiulas J. Leskovec Rex Ying AI4TS 86 16 0 31 Mar 2024
MCformer: Multivariate Time Series Forecasting with Mixed-Channels Transformer Wenyong Han Tao Zhu L. Chen Huansheng Ning Yang Luo Yaping Wan AI4TS 71 11 0 14 Mar 2024
Graph-based Virtual Sensing from Sparse and Partial Multivariate Observations G. Felice Andrea Cini Daniele Zambon Vladimir V. Gusev Cesare Alippi 84 7 0 19 Feb 2024
Deep Non-Parametric Time Series Forecaster Syama Sundar Rangapuram Jan Gasthaus Lorenzo Stella Valentin Flunkert David Salinas Yuyang Wang Tim Januschowski AI4TS 89 6 0 22 Dec 2023
RNN-BOF: A Multivariate Global Recurrent Neural Network for Binary Outcome Forecasting of Inpatient Aggression Aidan Quinn M. Simmons B. Spivak Christoph Bergmeir 58 0 0 02 Dec 2023
TimeSQL: Improving Multivariate Time Series Forecasting with Multi-Scale Patching and Smooth Quadratic Loss Site Mo Haoxin Wang Bixiong Li Songhai Fan Yuankai Wu Xianggen Liu AI4TS 48 13 0 19 Nov 2023
Impact of HPO on AutoML Forecasting Ensembles David Hoffmann 46 0 0 07 Nov 2023
Scalable Probabilistic Forecasting in Retail with Gradient Boosted Trees: A Practitioner's Approach Xueying Long Quang Bui G. Oktavian Daniel F. Schmidt Christoph Bergmeir Rakshitha Godahewa Seong Per Lee Kaifeng Zhao Paul Condylis 62 1 0 02 Nov 2023
On Forecast Stability Rakshitha Godahewa Christoph Bergmeir Zeynep Erkin Baz Chengjun Zhu Zhangdi Song Salvador Garcia Dario Benavides 65 3 0 26 Oct 2023
Graph Deep Learning for Time Series Forecasting Andrea Cini Ivan Marisca Daniele Zambon Cesare Alippi AI4TS AI4CE 128 16 0 24 Oct 2023
Improving Forecasts for Heterogeneous Time Series by "Averaging", with Application to Food Demand Forecast L. Neubauer Peter Filzmoser AI4TS 45 3 0 12 Jun 2023
Deep Learning based Forecasting: a case study from the online fashion industry Manuel Kunz Stefan Birr Mones Raslan Lei Ma Zhuguo Li ... Armin Kekić Michael Narodovitch Kashif Rasul Julian Sieber Tim Januschowski 117 16 0 23 May 2023
Time series clustering based on prediction accuracy of global forecasting models Ángel López-Oriona Pablo Montero-Manso José Antonio Vilar Fernández AI4TS 35 0 0 30 Apr 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 104 101 0 11 Apr 2023
Handling Concept Drift in Global Time Series Forecasting Ziyi Liu Rakshitha Godahewa Kasun Bandara Christoph Bergmeir AI4TS 53 9 0 04 Apr 2023
Local-Global Methods for Generalised Solar Irradiance Forecasting Timothy Cargan Dario Landa Silva I. Triguero 138 2 0 10 Mar 2023
Frugal day-ahead forecasting of multiple local electricity loads by aggregating adaptive models Guillaume Lambert Bachir Hamrouche Joseph de Vilmarest AI4TS 60 3 0 16 Feb 2023
Taming Local Effects in Graph-based Spatiotemporal Forecasting Andrea Cini Ivan Marisca Daniele Zambon Cesare Alippi AI4TS 82 36 0 08 Feb 2023
A Concurrent CNN-RNN Approach for Multi-Step Wind Power Forecasting Syed Kazmi Berk Görgülü Mucahit Cevik M. Baydogan 56 5 0 02 Jan 2023
SETAR-Tree: A Novel and Accurate Tree Algorithm for Global Time Series Forecasting Rakshitha Godahewa G. Webb Daniel F. Schmidt Christoph Bergmeir 61 9 0 16 Nov 2022
Experimental study of time series forecasting methods for groundwater level prediction Michael Franklin Mbouopda Thomas Guyet Nicolas Labroche Abel Henriot 74 1 0 28 Sep 2022
Causal Effect Estimation with Global Probabilistic Forecasting: A Case Study of the Impact of Covid-19 Lockdowns on Energy Demand Ankitha Nandipura Prasanna Priscila Grecov Angela Dieyu Weng Christoph Bergmeir 66 2 0 19 Sep 2022
Feature-based intermittent demand forecast combinations: bias, accuracy and inventory implications Li Li Yanfei Kang F. Petropoulos Feng Li 97 11 0 18 Apr 2022
A Global Modeling Approach for Load Forecasting in Distribution Networks M. Grabner Yi Wang Qingsong Wen B. Blazic Vitomir Štruc 39 3 0 01 Apr 2022
Multivariate Time Series Forecasting with Latent Graph Inference Victor Garcia Satorras Syama Sundar Rangapuram Tim Januschowski AI4TS 94 30 0 07 Mar 2022
Multi-Objective Model Selection for Time Series Forecasting Oliver Borchert David Salinas Valentin Flunkert Tim Januschowski Stephan Günnemann AI4TS 74 9 0 17 Feb 2022
TACTiS: Transformer-Attentional Copulas for Time Series Alexandre Drouin Étienne Marcotte Nicolas Chapados AI4TS 283 39 0 07 Feb 2022
Self-Adaptive Forecasting for Improved Deep Learning on Non-Stationary Time-Series Sercan O. Arik Nathanael Yoder Tomas Pfister TTA AI4TS 63 21 0 04 Feb 2022
Parameter Efficient Deep Probabilistic Forecasting O. Sprangers Sebastian Schelter Maarten de Rijke BDL AI4TS 118 24 0 06 Dec 2021
LoMEF: A Framework to Produce Local Explanations for Global Model Time Series Forecasts Dilini Sewwandi Rajapaksha Christoph Bergmeir Rob J. Hyndman FAtt AI4TS 36 14 0 13 Nov 2021
Neural forecasting at scale Philippe Chatigny Shengrui Wang Jean-Marc Patenaude and Boris N. Oreshkin AI4TS 71 1 0 20 Sep 2021
A comparison of LSTM and GRU networks for learning symbolic sequences Roberto Cahuantzi Xinye Chen S. Güttel 96 144 0 05 Jul 2021
Monash Time Series Forecasting Archive Rakshitha Godahewa Christoph Bergmeir Geoffrey I. Webb Rob J. Hyndman Pablo Montero-Manso AI4TS 85 162 0 14 May 2021
Time Series Forecasting via Learning Convolutionally Low-Rank Models Guangcan Liu AI4TS 63 13 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 80 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 102 46 0 30 Dec 2020
Global Models for Time Series Forecasting: A Simulation Study Hansika Hewamalage Christoph Bergmeir Kasun Bandara AI4TS 96 62 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 62 10 0 16 Oct 2020
Transfer Learning for Electricity Price Forecasting Salih Gündüz Umut Ugurlu Ilkay Oksuz AI4TS 59 27 0 05 Jul 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 99 201 0 21 Apr 2020