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~subject:"Mustererkennung"
~subject:"Zeitreihenanalyse"
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Energy economics
International journal of forecasting
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Texto para discussão / Pontifícia Universidade Católica do Rio de Janeiro, Departamento de Economia
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ECONIS (ZBW)
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1
Forecasting day-ahead electricity prices : a comparison of time series and neural network models taking external regressors into account
Lehna, Malte
;
Scheller, Fabian
;
Herwartz, Helmut
- In:
Energy economics
106
(
2022
),
pp. 1-15
Persistent link: https://www.econbiz.de/10013202053
Saved in:
2
Crude oil price forecasting : experimental evidence from wavelet decomposition and neural network modeling
Jammazi, Rania
;
Aloui, Chaker
- In:
Energy economics
34
(
2012
)
3
,
pp. 828-841
Persistent link: https://www.econbiz.de/10010219886
Saved in:
3
The VEC-NAR model for short-term forecasting of oil prices
Cheng, Fangzheng
;
Li, Tian
;
Wei, Yi-Ming
;
Fan, Tijun
- In:
Energy economics
78
(
2019
),
pp. 656-667
Persistent link: https://www.econbiz.de/10012160054
Saved in:
4
Interval decomposition ensemble approach for crude oil price forecasting
Sun, Shaolong
;
Sun, Yuying
;
Wang, Shouyang
;
Wei, Yunjie
- In:
Energy economics
76
(
2018
),
pp. 274-287
Persistent link: https://www.econbiz.de/10011976631
Saved in:
5
Machine learning in energy economics and finance: a review
Ghoddusi, Hamed
;
Creamer Guillén, Germán
;
Rafizadeh, Nima
- In:
Energy economics
81
(
2019
),
pp. 709-727
Persistent link: https://www.econbiz.de/10012172954
Saved in:
6
Monthly crude oil spot price forecasting using variational mode decomposition
Li, Jinchao
;
Zhu, Shaowen
;
Wu, Qianqian
- In:
Energy economics
83
(
2019
),
pp. 240-253
Persistent link: https://www.econbiz.de/10012175324
Saved in:
7
Denoising or distortion : does decomposition-reconstruction modeling paradigm provide a reliable prediction for crude oil price time series?
Xu, Kunliang
;
Niu, Hongli
- In:
Energy economics
128
(
2023
),
pp. 1-16
Persistent link: https://www.econbiz.de/10015072677
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