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~subject:"Estimation"
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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
Crude oil risk forecasting : new evidence from multiscale analysis approach
He, Kaijian
;
Tso, Kwok Fai Geoffrey
;
Zou, Yingchao
;
Liu, Jia
- In:
Energy economics
76
(
2018
),
pp. 574-583
Persistent link: https://www.econbiz.de/10011976731
Saved in:
6
A neural network approach to the environmental Kuznets curve
Bennedsen, Mikkel
;
Hillebrand, Eric
;
Jensen, Sebastian
- In:
Energy economics
126
(
2023
),
pp. 1-19
Persistent link: https://www.econbiz.de/10014483600
Saved in:
7
Early warning of exchange rate risk based on structural shocks in international oil prices using the LSTM neural network model
Zhao, Yinglan
;
Feng, Chen
;
Xu, Nuo
;
Peng, Song
;
Liu, Chang
- In:
Energy economics
126
(
2023
),
pp. 1-16
Persistent link: https://www.econbiz.de/10014483640
Saved in:
8
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
Saved in:
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