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Global Models for Time Series Forecasting: A Simulation Study
v1v2v3 (latest)

Global Models for Time Series Forecasting: A Simulation Study

Pattern Recognition (Pattern Recognit.), 2020
23 December 2020
Hansika Hewamalage
Christoph Bergmeir
Kasun Bandara
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Global Models for Time Series Forecasting: A Simulation Study"

18 / 18 papers shown
Extending Load Forecasting from Zonal Aggregates to Individual Nodes for Transmission System Operators
Extending Load Forecasting from Zonal Aggregates to Individual Nodes for Transmission System Operators
Oskar Triebe
Fletcher Passow
Simon Wittner
Leonie Wagner
Julio Arend
...
Marek Miltner
Arezou Ghesmati
Chen-Hao Tsai
Christoph Bergmeir
Ram Rajagopal
149
0
0
02 Sep 2025
Forecast-Then-Optimize Deep Learning Methods
Forecast-Then-Optimize Deep Learning Methods
Jinhang Jiang
Nan Wu
Ben Liu
Mei Feng
Xin Ji
Karthik Srinivasan
AI4TS
315
0
0
16 Jun 2025
On the retraining frequency of global models in retail demand forecasting
On the retraining frequency of global models in retail demand forecasting
Marco Zanotti
484
2
0
01 May 2025
Ordinary Least Squares as an Attention Mechanism
Ordinary Least Squares as an Attention Mechanism
Philippe Goulet Coulombe
361
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
287
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
223
45
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 WorkloadsACM Symposium on Cloud Computing (SoCC), 2023
Artjom Joosen
Ahmed Hassan
Martin Asenov
Rajkarn Singh
L. N. Darlow
Jianfeng Wang
Adam Barker
384
77
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 AggressionIEEE International Joint Conference on Neural Network (IJCNN), 2022
Aidan Quinn
M. Simmons
B. Spivak
Christoph Bergmeir
280
0
0
02 Dec 2023
ForecastPFN: Synthetically-Trained Zero-Shot Forecasting
ForecastPFN: Synthetically-Trained Zero-Shot ForecastingNeural Information Processing Systems (NeurIPS), 2023
Samuel Dooley
Gurnoor Singh Khurana
Chirag Mohapatra
Siddartha Naidu
Colin White
AI4TS
414
102
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 ApproachInternational Journal of Production Economics (IJPE), 2023
Xueying Long
Quang Bui
G. Oktavian
Daniel F. Schmidt
Christoph Bergmeir
Rakshitha Godahewa
Seong Per Lee
Kaifeng Zhao
Paul Condylis
217
5
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 ForecastInternational Journal of Forecasting (IJF), 2023
L. Neubauer
Peter Filzmoser
AI4TS
236
6
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
179
7
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 ForecastingMachine-mediated learning (ML), 2022
Rakshitha Godahewa
G. Webb
Daniel F. Schmidt
Christoph Bergmeir
214
12
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
197
5
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 DemandIEEE Transactions on Power Systems (IEEE Trans. Power Syst.), 2022
Ankitha Nandipura Prasanna
Priscila Grecov
Angela Dieyu Weng
Christoph Bergmeir
272
3
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 EstimatorsNeural Processing Letters (NPL), 2021
Vítor Cerqueira
Luís Torgo
Carlos Soares
AI4TS
367
7
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 graphPattern Recognition (Pattern Recogn.), 2021
Tianxiang Zhan
Fuyuan Xiao
AI4TS
613
9
0
14 Mar 2021
Ensembles of Localised Models for Time Series Forecasting
Ensembles of Localised Models for Time Series ForecastingKnowledge-Based Systems (KBS), 2020
Rakshitha Godahewa
Kasun Bandara
Geoffrey I. Webb
Slawek Smyl
Christoph Bergmeir
AI4TS
436
51
0
30 Dec 2020
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