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Energy economics
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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:
2
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:
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
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:
5
Using machine learning tools for forecasting natural gas consumption in the province of Istanbul
Beyca, Ömer Faruk
;
Ervural, Beyzanur Cayir
;
Tatoğlu, Ekrem
- In:
Energy economics
80
(
2019
),
pp. 937-949
Persistent link: https://www.econbiz.de/10012173755
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
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:
8
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:
9
Composite forecasting approach, application for next-day electricity price forecasting
Mirakyan, Atom
;
Meyer-Renschhausen, Martin
;
Koch, Andreas
- In:
Energy economics
66
(
2017
),
pp. 228-237
Persistent link: https://www.econbiz.de/10011896468
Saved in:
10
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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