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Global Models for Time Series Forecasting: A Simulation Study

Global Models for Time Series Forecasting: A Simulation Study

23 December 2020
Hansika Hewamalage
Christoph Bergmeir
Kasun Bandara
    AI4TS
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Papers citing "Global Models for Time Series Forecasting: A Simulation Study"

16 / 16 papers shown
Title
Do global forecasting models require frequent retraining?
Do global forecasting models require frequent retraining?
Marco Zanotti
39
0
0
01 May 2025
Ordinary Least Squares as an Attention Mechanism
Ordinary Least Squares as an Attention Mechanism
Philippe Goulet Coulombe
24
0
0
13 Apr 2025
Context Neural Networks: A Scalable Multivariate Model for Time Series
  Forecasting
Context Neural Networks: A Scalable Multivariate Model for Time Series Forecasting
Abishek Sriramulu
Christoph Bergmeir
Slawek Smyl
AI4TS
23
0
0
12 May 2024
Day-ahead regional solar power forecasting with hierarchical temporal
  convolutional neural networks using historical power generation and weather
  data
Day-ahead regional solar power forecasting with hierarchical temporal convolutional neural networks using historical power generation and weather data
M. Perera
J. Hoog
Kasun Bandara
Damith A. Senanayake
Saman K. Halgamuge
AI4TS
19
16
0
04 Mar 2024
How Does It Function? Characterizing Long-term Trends in Production
  Serverless Workloads
How Does It Function? Characterizing Long-term Trends in Production Serverless Workloads
Artjom Joosen
Ahmed Hassan
Martin Asenov
Rajkarn Singh
L. N. Darlow
Jianfeng Wang
Adam Barker
35
36
0
15 Dec 2023
RNN-BOF: A Multivariate Global Recurrent Neural Network for Binary
  Outcome Forecasting of Inpatient Aggression
RNN-BOF: A Multivariate Global Recurrent Neural Network for Binary Outcome Forecasting of Inpatient Aggression
Aidan Quinn
M. Simmons
B. Spivak
Christoph Bergmeir
16
0
0
02 Dec 2023
ForecastPFN: Synthetically-Trained Zero-Shot Forecasting
ForecastPFN: Synthetically-Trained Zero-Shot Forecasting
Samuel Dooley
Gurnoor Singh Khurana
Chirag Mohapatra
Siddartha Naidu
Colin White
AI4TS
86
59
0
03 Nov 2023
Scalable Probabilistic Forecasting in Retail with Gradient Boosted
  Trees: A Practitioner's Approach
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
28
0
0
02 Nov 2023
Improving Forecasts for Heterogeneous Time Series by "Averaging", with
  Application to Food Demand Forecast
Improving Forecasts for Heterogeneous Time Series by "Averaging", with Application to Food Demand Forecast
L. Neubauer
Peter Filzmoser
AI4TS
13
3
0
12 Jun 2023
A Concurrent CNN-RNN Approach for Multi-Step Wind Power Forecasting
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
SETAR-Tree: A Novel and Accurate Tree Algorithm for Global Time Series
  Forecasting
SETAR-Tree: A Novel and Accurate Tree Algorithm for Global Time Series Forecasting
Rakshitha Godahewa
G. Webb
Daniel F. Schmidt
Christoph Bergmeir
21
8
0
16 Nov 2022
Experimental study of time series forecasting methods for groundwater
  level prediction
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
Causal Effect Estimation with Global Probabilistic Forecasting: A Case
  Study of the Impact of Covid-19 Lockdowns on Energy Demand
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
22
0
0
19 Sep 2022
Model Selection for Time Series Forecasting: Empirical Analysis of
  Different Estimators
Model Selection for Time Series Forecasting: Empirical Analysis of Different Estimators
Vítor Cerqueira
Luís Torgo
Carlos Soares
AI4TS
15
6
0
01 Apr 2021
A novel weighted approach for time series forecasting based on
  visibility graph
A novel weighted approach for time series forecasting based on visibility graph
Tianxiang Zhan
Fuyuan Xiao
AI4TS
25
4
0
14 Mar 2021
Ensembles of Localised Models for Time Series Forecasting
Ensembles of Localised Models for Time Series Forecasting
Rakshitha Godahewa
Kasun Bandara
Geoffrey I. Webb
Slawek Smyl
Christoph Bergmeir
AI4TS
27
43
0
30 Dec 2020
1