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Forecasting: theory and practice
v1v2v3v4 (latest)

Forecasting: theory and practice

International Journal of Forecasting (IJF), 2020
4 December 2020
F. Petropoulos
D. Apiletti
Vassilios Assimakopoulos
M. Z. Babai
Devon K. Barrow
Souhaib Ben Taieb
Christoph Bergmeir
R. Bessa
Jakub Bijak
J. Boylan
J. Browell
C. Carnevale
Jennifer L. Castle
Pasquale Cirillo
Michael P. Clements
C. Cordeiro
F. C. Oliveira
Shari De Baets
Alexander Dokumentov
Joanne Ellison
P. Fiszeder
P. Franses
David T. Frazier
Michael Gilliland
M. S. Gonul
P. Goodwin
L. Grossi
Y. Grushka-Cockayne
M. Guidolin
Massimo Guidolin
Ulrich Gunter
Xiaojia Guo
R. Guseo
N. Harvey
D. Hendry
Ross Hollyman
Tim Januschowski
Jooyoung Jeon
V. R. Jose
Yanfei Kang
A. Koehler
S. Kolassa
N. Kourentzes
S. Leva
Feng Li
Konstantia Litsiou
Spyros Makridakis
Gael M. Martin
Andrew B. Martinez
S. Meeran
Theodore Modis
K. Nikolopoulos
D. Onkal
Alessia Paccagnini
Anastasios Panagiotelis
I. Panapakidis
Jose M. Pavía
Manuela Pedio
D. J. Pedregal
Pierre Pinson
Patrícia Ramos
D. Rapach
J. Reade
B. Rostami-Tabar
Micha l Rubaszek
G. Sermpinis
H. Shang
Evangelos Spiliotis
A. Syntetos
P. D. Talagala
T. Talagala
Len Tashman
D. Thomakos
T. Thorarinsdottir
E. Todini
J. Arenas
Xiaoqian Wang
R. L. Winkler
Alisa Yusupova
F. Ziel
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Forecasting: theory and practice"

29 / 29 papers shown
AquaCast: Urban Water Dynamics Forecasting with Precipitation-Informed Multi-Input Transformer
AquaCast: Urban Water Dynamics Forecasting with Precipitation-Informed Multi-Input Transformer
Golnoosh Abdollahinejad
Saleh Baghersalimi
Denisa-Andreea Constantinescu
Sergey Shevchik
David Atienza
101
0
0
11 Sep 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
515
2
0
01 May 2025
Deep Learning for Time Series Forecasting: A Survey
Deep Learning for Time Series Forecasting: A SurveyInternational Journal of Machine Learning and Cybernetics (IJMLC), 2025
X. Kong
Zhenghao Chen
Weiyao Liu
Kaili Ning
Lechao Zhang
Syauqie Muhammad Marier
Yichen Liu
Yuhao Chen
Xiwei Xu
AI4TSAI4CE
440
71
0
13 Mar 2025
Using dynamic loss weighting to boost improvements in forecast stability
Using dynamic loss weighting to boost improvements in forecast stabilityInternational Journal of Forecasting (IJF), 2024
Daan Caljon
Jeff Vercauteren
Simon De Vos
Wouter Verbeke
Jente Van Belle
306
1
0
26 Sep 2024
Efficient mid-term forecasting of hourly electricity load using generalized additive models
Efficient mid-term forecasting of hourly electricity load using generalized additive models
Manuel Kansy
F. Ziel
AI4TS
284
11
0
27 May 2024
Using ARIMA to Predict the Expansion of Subscriber Data Consumption
Using ARIMA to Predict the Expansion of Subscriber Data Consumption
Mike Nkongolo
250
20
0
23 Apr 2024
Time Series Analysis in Compressor-Based Machines: A Survey
Time Series Analysis in Compressor-Based Machines: A Survey
Francesca Forbicini
Nicolò Oreste Pinciroli Vago
Piero Fraternali
AI4CE
314
0
0
27 Feb 2024
Sparse Transformer with Local and Seasonal Adaptation for Multivariate
  Time Series Forecasting
Sparse Transformer with Local and Seasonal Adaptation for Multivariate Time Series Forecasting
Yifan Zhang
Rui Wu
S. Dascalu
Frederick C. Harris
AI4TS
228
13
0
11 Dec 2023
Generative learning for nonlinear dynamics
Generative learning for nonlinear dynamics
William Gilpin
AI4CEPINN
380
53
0
07 Nov 2023
Counterfactual Explanations for Time Series Forecasting
Counterfactual Explanations for Time Series ForecastingIndustrial Conference on Data Mining (IDM), 2023
Zhendong Wang
Ioanna Miliou
Isak Samsten
P. Papapetrou
BDLAI4TSOOD
282
16
0
12 Oct 2023
A Natural Gas Consumption Forecasting System for Continual Learning
  Scenarios based on Hoeffding Trees with Change Point Detection Mechanism
A Natural Gas Consumption Forecasting System for Continual Learning Scenarios based on Hoeffding Trees with Change Point Detection MechanismKnowledge-Based Systems (KBS), 2023
Radek Svoboda
Sebastian Basterrech
Jędrzej Kozal
Jan Platoš
Michal Wo'zniak
391
10
0
07 Sep 2023
Improving the forecast accuracy of wind power by leveraging multiple hierarchical structure
Improving the forecast accuracy of wind power by leveraging multiple hierarchical structureSustainable Energy, Grids and Networks (SEGAN), 2023
Lucas English
M. Abolghasemi
AI4CE
339
10
0
07 Aug 2023
Hierarchical forecasting for aggregated curves with an application to
  day-ahead electricity price auctions
Hierarchical forecasting for aggregated curves with an application to day-ahead electricity price auctionsInternational Journal of Forecasting (IJF), 2022
Paul Ghelasi
F. Ziel
AI4TS
199
6
0
25 May 2023
A Joint Time-frequency Domain Transformer for Multivariate Time Series
  Forecasting
A Joint Time-frequency Domain Transformer for Multivariate Time Series ForecastingNeural Networks (Neural Netw.), 2023
Yushu Chen
Shengzhuo Liu
Jinzhe Yang
Hao Jing
Wenlai Zhao
Guang-Wu Yang
AI4TS
275
46
0
24 May 2023
A feature selection method based on Shapley values robust to concept
  shift in regression
A feature selection method based on Shapley values robust to concept shift in regression
Carlos Sebastián
Carlos E. González-Guillén
321
16
0
28 Apr 2023
Brain-Inspired Spiking Neural Network for Online Unsupervised Time
  Series Prediction
Brain-Inspired Spiking Neural Network for Online Unsupervised Time Series PredictionIEEE International Joint Conference on Neural Network (IJCNN), 2023
Biswadeep Chakraborty
Saibal Mukhopadhyay
266
9
0
10 Apr 2023
W-Transformers : A Wavelet-based Transformer Framework for Univariate
  Time Series Forecasting
W-Transformers : A Wavelet-based Transformer Framework for Univariate Time Series ForecastingInternational Conference on Machine Learning and Applications (ICMLA), 2022
Zakaria Elabid
Tanujit Chakraborty
Abdenour Hadid
AI4TS
328
42
0
08 Sep 2022
Signature-based validation of real-world economic scenarios
Signature-based validation of real-world economic scenariosASTIN Bulletin: The Journal of the International Actuarial Association (ASTIN), 2022
Hervé Andrès
Alexandre Boumezoued
B. Jourdain
399
11
0
02 Aug 2022
Distributional neural networks for electricity price forecasting
Distributional neural networks for electricity price forecastingEnergy Economics (Energy Econ.), 2022
Grzegorz Marcjasz
Michał Narajewski
R. Weron
F. Ziel
233
89
0
06 Jul 2022
fETSmcs: Feature-based ETS model component selection
fETSmcs: Feature-based ETS model component selectionInternational Journal of Forecasting (IJF), 2022
Lingzhi Qi
Xixi Li
Qiang Wang
Suling Jia
183
6
0
26 Jun 2022
Epicasting: An Ensemble Wavelet Neural Network (EWNet) for Forecasting
  Epidemics
Epicasting: An Ensemble Wavelet Neural Network (EWNet) for Forecasting EpidemicsNeural Networks (NN), 2022
Madhurima Panja
Tanujit Chakraborty
U. Kumar
Nan Liu
211
34
0
21 Jun 2022
A review of machine learning concepts and methods for addressing
  challenges in probabilistic hydrological post-processing and forecasting
A review of machine learning concepts and methods for addressing challenges in probabilistic hydrological post-processing and forecastingFrontiers in Water (FW), 2022
Georgia Papacharalampous
Hristos Tyralis
AI4CE
355
41
0
17 Jun 2022
Forecast combinations: an over 50-year review
Forecast combinations: an over 50-year reviewInternational Journal of Forecasting (IJF), 2022
Xiaoqian Wang
Rob J. Hyndman
Feng Li
Yanfei Kang
AI4TS
280
235
0
09 May 2022
Feature-based intermittent demand forecast combinations: bias, accuracy
  and inventory implications
Feature-based intermittent demand forecast combinations: bias, accuracy and inventory implicationsInternational Journal of Production Research (IJPR), 2022
Li Li
Yanfei Kang
F. Petropoulos
Feng Li
291
18
0
18 Apr 2022
A Hybrid Framework for Sequential Data Prediction with End-to-End
  Optimization
A Hybrid Framework for Sequential Data Prediction with End-to-End Optimization
M. Aydın
Suleyman S. Kozat
BDL
215
5
0
25 Mar 2022
Forecast Evaluation for Data Scientists: Common Pitfalls and Best
  Practices
Forecast Evaluation for Data Scientists: Common Pitfalls and Best PracticesData mining and knowledge discovery (DMKD), 2022
Hansika Hewamalage
Klaus Ackermann
Christoph Bergmeir
AI4TS
389
182
0
21 Mar 2022
Review of automated time series forecasting pipelines
Review of automated time series forecasting pipelines
Stefan Meisenbacher
Marian Turowski
Kaleb Phipps
Martin Ratz
D. Muller
V. Hagenmeyer
Ralf Mikut
TPMAI4TS
294
76
0
03 Feb 2022
Expert Aggregation for Financial Forecasting
Expert Aggregation for Financial Forecasting
Carl Remlinger
M. Brière
C. Alasseur
Joseph Mikael
AI4TSAIFin
537
10
0
25 Nov 2021
Privacy-preserving Federated Learning for Residential Short Term Load
  Forecasting
Privacy-preserving Federated Learning for Residential Short Term Load Forecasting
Joaquín Delgado Fernández
Sergio Potenciano Menci
Chul Min Lee
Gilbert Fridgen
400
78
0
17 Nov 2021
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