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~isPartOf:"Discussion paper / Tinbergen Institute"
~isPartOf:"International journal of forecasting"
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1
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:
2
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:
3
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:
4
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
Saved in:
5
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
Saved in:
6
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:
7
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:
8
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:
9
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:
10
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
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