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ECONIS (ZBW)
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1
Neural network prediction of crude oil futures using B-splines
Butler, Sunil
;
Kokoszka, Piotr
;
Miao, Hong
;
Shang, Han Lin
- In:
Energy economics
94
(
2021
),
pp. 1-11
Persistent link: https://www.econbiz.de/10012649352
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
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3
Natural gas consumption forecast with MARS and CMARS models for residential users
Özmen, Ayşe
;
Yılmaz, Yavuz
;
Weber, Gerhard-Wilhelm
- In:
Energy economics
70
(
2018
),
pp. 357-381
Persistent link: https://www.econbiz.de/10011942795
Saved in:
4
Forecasting of coal and electricity prices in China : evidence from the quantum bee colony-support vector regression neural network
Pan, Wenchao
;
Guo, Zhichen
;
Zhang, Jiayan Shi Yaxuan
; …
- In:
Energy economics
134
(
2024
),
pp. 1-10
Persistent link: https://www.econbiz.de/10015047009
Saved in:
5
The dynamics of fuel demand and illegal fuel activity in Turkey
Yalta, A. Talha
;
Yalta, A. Yasemin
- In:
Energy economics
54
(
2016
),
pp. 144-158
Persistent link: https://www.econbiz.de/10011662795
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6
Can green bond improve the investment
efficiency
of renewable energy?
Zhao, Qian
;
Qin, Chuan
;
Ding, Longfei
;
Cheng, Ying-Yue
; …
- In:
Energy economics
127
(
2023
)
2
,
pp. 1-10
Persistent link: https://www.econbiz.de/10014490006
Saved in:
7
Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm
Yu, Lean
;
Wang, Shouyang
;
Lai, Kin Keung
- In:
Energy economics
30
(
2008
)
5
,
pp. 2623-2635
Persistent link: https://www.econbiz.de/10003773838
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8
Are there exploitable inefficiencies in the futures market for oil?
Shambora, William E.
;
Rossiter, Rosemary D.
- In:
Energy economics
29
(
2007
)
1
,
pp. 18-27
Persistent link: https://www.econbiz.de/10003413292
Saved in:
9
A compressed sensing based AI learning paradigm for crude oil price forecasting
Yu, Lean
;
Zhao, Yang
;
Tang, Ling
- In:
Energy economics
46
(
2014
),
pp. 236-245
Persistent link: https://www.econbiz.de/10011298594
Saved in:
10
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
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