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International journal of forecasting
International journal of production research
64
Computational economics
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European journal of operational research : EJOR
38
Journal of risk and financial management : JRFM
38
Technological forecasting & social change : an international journal
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Europäische Hochschulschriften / 5
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International journal of production economics
20
Computers & operations research : and their applications to problems of world concern ; an international journal
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Research in international business and finance
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15
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14
Financial innovation : FIN
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Intelligent systems in accounting finance and management : international journal
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International journal of economics and finance
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Journal of econometrics
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Journal of the Operational Research Society
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The European journal of finance
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Transportation research / E : an international journal
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Economic modelling
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IEEE transactions on engineering management : EM
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International journal of electronic finance : IJEF
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ECONIS (ZBW)
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1
Demand forecasting for fashion products : a systematic review
Swaminathan, Kritika
;
Venkitasubramony, Rakesh
- In:
International journal of forecasting
40
(
2024
)
1
,
pp. 247-267
Persistent link: https://www.econbiz.de/10014450269
Saved in:
2
Parameter-efficient deep probabilistic forecasting
Sprangers, Olivier
;
Schelter, Sebastian
;
Rijke, Maarten de
- In:
International journal of forecasting
39
(
2023
)
1
,
pp. 332-345
Persistent link: https://www.econbiz.de/10014462783
Saved in:
3
Neural basis expansion analysis with exogenous variables : forecasting electricity prices with NBEATSx
Olivares, Kin G.
;
Challu, Cristian
;
Marcjasz, Grzegorz
; …
- In:
International journal of forecasting
39
(
2023
)
2
,
pp. 884-900
Persistent link: https://www.econbiz.de/10014465161
Saved in:
4
Deep learning models for visibility forecasting using climatological data
Ortega, Luz C.
;
Otero, Luis Daniel
;
Solomon, Mitchell
; …
- In:
International journal of forecasting
39
(
2023
)
2
,
pp. 992-1004
Persistent link: https://www.econbiz.de/10014465190
Saved in:
5
Mixed-frequency machine learning : nowcasting and backcasting weekly initial claims with daily internet search volume data
Borup, Daniel
;
Rapach, David E.
;
Montes Schütte, Erik …
- In:
International journal of forecasting
39
(
2023
)
3
,
pp. 1122-1144
Persistent link: https://www.econbiz.de/10014465249
Saved in:
6
Forecasting CPI inflation components with Hierarchical Recurrent Neural Networks
Barkan, Oren
;
Benchimol, Jonathan
;
Caspi, Itamar
; …
- In:
International journal of forecasting
39
(
2023
)
3
,
pp. 1145-1162
Persistent link: https://www.econbiz.de/10014465250
Saved in:
7
Daily peak electrical load forecasting with a multi-resolution approach
Amara-Ouali, Yvenn
;
Fasiolo, Matteo
;
Goude, Yannig
;
Yan, Hui
- In:
International journal of forecasting
39
(
2023
)
3
,
pp. 1272-1286
Persistent link: https://www.econbiz.de/10014465270
Saved in:
8
A machine learning-based framework for forecasting sales of new products with short life cycles using deep neural networks
Elalem, Yara Kayyali
;
Maier, Sebastian
;
Seifert, Ralf W.
- In:
International journal of forecasting
39
(
2023
)
4
,
pp. 1874-1894
Persistent link: https://www.econbiz.de/10014465364
Saved in:
9
The Kernel trick for nonlinear factor modeling
Kutateladze, Varlam
- In:
International journal of forecasting
38
(
2022
)
1
,
pp. 165-177
Persistent link: https://www.econbiz.de/10013347745
Saved in:
10
Machine learning algorithms for forecasting and backcasting blood demand data with missing values and outliers : a study of Tema General Hospital of Ghana
Twumasi, Clement
;
Twumasi, Juliet
- In:
International journal of forecasting
38
(
2022
)
3
,
pp. 1258-1277
Persistent link: https://www.econbiz.de/10013349668
Saved in:
11
Forecasting with gradient boosted trees : augmentation, tuning, and cross-validation strategies : winning solution to the M5 uncertainty competition
Lainder, A. David
;
Wolfinger, Russell D.
- In:
International journal of forecasting
38
(
2022
)
4
,
pp. 1426-1433
Persistent link: https://www.econbiz.de/10014381101
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12
A solution for M5 Forecasting-uncertainty : Hybrid gradient boosting and autoregressive recurrent neural network for quantile estimation
Chiew, Ernest
;
Choong, Shin Siang
- In:
International journal of forecasting
38
(
2022
)
4
,
pp. 1442-1447
Persistent link: https://www.econbiz.de/10014381105
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13
Blending gradient boosted trees and neural networks for point and probabilistic forecasting of hierarchical time series
Nasios, Ioannis
;
Vogklis, Konstantinos
- In:
International journal of forecasting
38
(
2022
)
4
,
pp. 1448-1459
Persistent link: https://www.econbiz.de/10014381109
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14
Recurrent Neural Networks for time series forecasting : Current status and future directions
Hewamalage, Hansika
;
Bergmeir, Christoph
;
Bandara, Kasun
- In:
International journal of forecasting
37
(
2021
)
1
,
pp. 388-427
Persistent link: https://www.econbiz.de/10012693081
Saved in:
15
Granger causality detection in high-dimensional systems using feedforward neural networks
Calvo Pardo, Héctor F.
;
Mancini, Tullio
;
Olmo, Jose
- In:
International journal of forecasting
37
(
2021
)
2
,
pp. 920-940
Persistent link: https://www.econbiz.de/10012792882
Saved in:
16
U-Convolutional model for spatio-temporal wind speed forecasting
Bastos, Bruno Quaresma
;
Oliveira, Fernando Luiz Cyrino
; …
- In:
International journal of forecasting
37
(
2021
)
2
,
pp. 949-970
Persistent link: https://www.econbiz.de/10012794764
Saved in:
17
Investigating the accuracy of cross-learning time series forecasting methods
Semenoglou, Artemios-Anargyros
;
Spiliotis, Evangelos
; …
- In:
International journal of forecasting
37
(
2021
)
3
,
pp. 1072-1084
Persistent link: https://www.econbiz.de/10012794805
Saved in:
18
A brief history of forecasting competitions
Hyndman, Rob J.
- In:
International journal of forecasting
36
(
2020
)
1
,
pp. 7-14
Persistent link: https://www.econbiz.de/10012405521
Saved in:
19
A hybrid method of exponential smoothing and recurrent neural networks for time series forecasting
Smyl, Slawek
- In:
International journal of forecasting
36
(
2020
)
1
,
pp. 75-85
Persistent link: https://www.econbiz.de/10012405910
Saved in:
20
Probabilistic electricity price forecasting with NARX networks : combine point or probabilistic forecasts?
Marcjasz, Grzegorz
;
Uniejewski, Bartosz
;
Weron, Rafał
- In:
International journal of forecasting
36
(
2020
)
2
,
pp. 466-479
Persistent link: https://www.econbiz.de/10012415156
Saved in:
21
An empirical investigation of water consumption forecasting methods
Karamaziotis, Panagiotis I.
;
Raptis, Achilleas
; …
- In:
International journal of forecasting
36
(
2020
)
2
,
pp. 588-606
Persistent link: https://www.econbiz.de/10012415297
Saved in:
22
Daily retail demand forecasting using machine learning with emphasis on calendric special days
Huber, Jakob
;
Stuckenschmidt, Heiner
- In:
International journal of forecasting
36
(
2020
)
4
,
pp. 1420-1438
Persistent link: https://www.econbiz.de/10012546798
Saved in:
23
Incorporating textual information in customer churn prediction models based on a convolutional neural network
Caigny, Arno de
;
Coussement, Kristof
;
De Bock, Koen W.
; …
- In:
International journal of forecasting
36
(
2020
)
4
,
pp. 1563-1578
Persistent link: https://www.econbiz.de/10012547130
Saved in:
24
Predicting bank insolvencies using machine learning techniques
Petropoulos, Anastasios
;
Siakoulis, Vasilis
; …
- In:
International journal of forecasting
36
(
2020
)
3
,
pp. 1092-1113
Persistent link: https://www.econbiz.de/10012497724
Saved in:
25
DeepAR : probabilistic forecasting with autoregressive recurrent networks
Salinas, David
;
Flunkert, Valentin
;
Gasthaus, Jan
; …
- In:
International journal of forecasting
36
(
2020
)
3
,
pp. 1181-1191
Persistent link: https://www.econbiz.de/10012498611
Saved in:
26
Bagged neural networks for forecasting Polish (low) inflation
Szafranek, Karol
- In:
International journal of forecasting
35
(
2019
)
3
,
pp. 1042-1059
Persistent link: https://www.econbiz.de/10012305220
Saved in:
27
Forecasting and trading on the VIX futures market : a neural network approach based on open to close returns and coincident indicators
Ballestra, Luca Vincenzo
;
Guizzardi, Andrea
;
Palladini, …
- In:
International journal of forecasting
35
(
2019
)
4
,
pp. 1250-1262
Persistent link: https://www.econbiz.de/10012305272
Saved in:
28
A hybrid machine learning model for forecasting a billing period’s peak electric load days
Saxena, Harshit
;
Aponte, Omar
;
McConky, Katie T.
- In:
International journal of forecasting
35
(
2019
)
4
,
pp. 1288-1303
Persistent link: https://www.econbiz.de/10012305279
Saved in:
29
Neural networks for GEFCom2017 probabilistic load forecasting
Dimoulkas, I.
;
Mazidi, P.
;
Herre, L.
- In:
International journal of forecasting
35
(
2019
)
4
,
pp. 1409-1423
Persistent link: https://www.econbiz.de/10012305363
Saved in:
30
Machine learning methods for GEFCom2017 probabilistic load forecasting
Smyl, Slawek
;
Hua, N. Grace
- In:
International journal of forecasting
35
(
2019
)
4
,
pp. 1424-1431
Persistent link: https://www.econbiz.de/10012305365
Saved in:
31
Data visualization and forecast combination for probabilistic load forecasting in GEFCom2017 final match
Hoog, Julian de
;
Abdulla, Khalid
- In:
International journal of forecasting
35
(
2019
)
4
,
pp. 1451-1459
Persistent link: https://www.econbiz.de/10012305375
Saved in:
32
On the importance of the long-term seasonal component in day-ahead electricity price forecasting with NARX neural networks
Marcjasz, Grzegorz
;
Uniejewski, Bartosz
;
Weron, Rafał
- In:
International journal of forecasting
35
(
2019
)
4
,
pp. 1520-1532
Persistent link: https://www.econbiz.de/10012305383
Saved in:
33
Text-based crude oil price forecasting : a deep learning approach
Li, Xuerong
;
Shang, Wei
;
Wang, Shouyang
- In:
International journal of forecasting
35
(
2019
)
4
,
pp. 1548-1560
Persistent link: https://www.econbiz.de/10012305388
Saved in:
34
Predictive analysis and modelling football results using machine learning approach for English Premier League
Baboota, Rahul
;
Kaur, Harleen
- In:
International journal of forecasting
35
(
2019
)
2
,
pp. 741-755
Persistent link: https://www.econbiz.de/10012300725
Saved in:
35
Exploiting sports-betting market using machine learning
Hubáček, Ondřej
;
Šourek, Gustav
;
Železný, Filip
- In:
International journal of forecasting
35
(
2019
)
2
,
pp. 783-796
Persistent link: https://www.econbiz.de/10012300734
Saved in:
36
Benchmarking robustness of load forecasting models under data integrity attacks
Luo, Jian
;
Tao, Hong
;
Fang, Shu-Cherng
- In:
International journal of forecasting
34
(
2018
)
1
,
pp. 89-104
Persistent link: https://www.econbiz.de/10012030845
Saved in:
37
Residual value forecasting using asymmetric cost functions
Dress, Korbinian
;
Lessmann, Stefan
;
Mettenheim, …
- In:
International journal of forecasting
34
(
2018
)
4
,
pp. 551-565
Persistent link: https://www.econbiz.de/10012031040
Saved in:
38
The relationship between model complexity and forecasting performance for computer intelligence optimization in finance
Ghandar, Adam
;
Michalewicz, Zbigniew
;
Zurbruegg, Ralf
- In:
International journal of forecasting
32
(
2016
)
3
,
pp. 598-613
Persistent link: https://www.econbiz.de/10011621732
Saved in:
39
Probabilistic electric load forecasting : a tutorial review
Tao, Hong
;
Shu Fan
- In:
International journal of forecasting
32
(
2016
)
3
,
pp. 914-938
Persistent link: https://www.econbiz.de/10011621895
Saved in:
40
GEFCom2014 probabilistic electric load forecasting : an integrated solution with forecast combination and residual simulation
Xie, Jingrui
;
Tao, Hong
- In:
International journal of forecasting
32
(
2016
)
3
,
pp. 1012-1016
Persistent link: https://www.econbiz.de/10011621984
Saved in:
41
Multilayer perceptron for GEFCom2014 probabilistic electricity price forecasting
Dudek, Grzegorz
- In:
International journal of forecasting
32
(
2016
)
3
,
pp. 1057-1060
Persistent link: https://www.econbiz.de/10011621994
Saved in:
42
A comparison of AdaBoost algorithms for time series forecast combination
Barrow, Devon K.
;
Crone, Sven F.
- In:
International journal of forecasting
32
(
2016
)
4
,
pp. 1103-1119
Persistent link: https://www.econbiz.de/10011622109
Saved in:
43
Cross-validation aggregation for combining autoregressive neural network forecasts
Barrow, Devon K.
;
Crone, Sven F.
- In:
International journal of forecasting
32
(
2016
)
4
,
pp. 1120-1137
Persistent link: https://www.econbiz.de/10011622112
Saved in:
44
Discussion of the paper "Forecasting performance of three automated modeling techniques during the economic crisis 2007 - 2009" by A. Kock and T. Teräsvirta
Dubois, Eric
- In:
International journal of forecasting
30
(
2014
)
3
,
pp. 632-634
Persistent link: https://www.econbiz.de/10010514784
Saved in:
45
Forecasting performances of three automated modelling techniques during the economic crisis : 2007 - 2009
Kock, Anders Bredahl
;
Teräsvirta, Timo
- In:
International journal of forecasting
30
(
2014
)
3
,
pp. 616-631
Persistent link: https://www.econbiz.de/10010514786
Saved in:
46
Electricity price forecasting : a review of the state-of-the-art with a look into the future
Weron, Rafał
- In:
International journal of forecasting
30
(
2014
)
4
,
pp. 1030-1081
Persistent link: https://www.econbiz.de/10010517770
Saved in:
47
Takeover prediction using forecast combinations
Rodrigues, Bruno Dore
;
Stevenson, Maxwell John
- In:
International journal of forecasting
29
(
2013
)
4
,
pp. 628-641
Persistent link: https://www.econbiz.de/10010212456
Saved in:
48
Winning methods for forecasting seasonal tourism time series
Brierley, Phil
- In:
International journal of forecasting
27
(
2011
)
3
,
pp. 853-854
Persistent link: https://www.econbiz.de/10009248093
Saved in:
49
Winning methods for forecasting tourism time series
Baker, Lee C.
;
Howard, Jeremy
- In:
International journal of forecasting
27
(
2011
)
3
,
pp. 850-852
Persistent link: https://www.econbiz.de/10009248103
Saved in:
50
An empirical analysis of neural network memory structures for basin water quality forecasting
West, David
;
Dellana, Scott
- In:
International journal of forecasting
27
(
2011
)
3
,
pp. 777-803
Persistent link: https://www.econbiz.de/10009248130
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