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20
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11
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Energy economics
International journal of forecasting
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ECONIS (ZBW)
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1
Analyzing the influence of geopolitical risks on European power prices using a multiresolution causal neural network
Saâdaoui, Foued
;
Jabeur, Sami Ben
- In:
Energy economics
124
(
2023
),
pp. 1-13
Persistent link: https://www.econbiz.de/10014480975
Saved in:
2
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:
3
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:
4
Distributional neural networks for electricity price forecasting
Marcjasz, Grzegorz
;
Narajewski, Michał Andrzej
;
Weron, …
- In:
Energy economics
125
(
2023
),
pp. 1-12
Persistent link: https://www.econbiz.de/10014484407
Saved in:
5
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:
6
Probability distribution forecasting of carbon allowance prices : a hybrid model considering multiple influencing factors
Lei, Heng
;
Xue, Minggao
;
Liu, Huiling
- In:
Energy economics
113
(
2022
),
pp. 1-20
Persistent link: https://www.econbiz.de/10013540610
Saved in:
7
Convolutional neural network forecasting of European Union allowances futures using a novel unconstrained transformation method
Huang, Wenyang
;
Wang, Huiwen
;
Qin, Haotong
;
Wei, Yigang
; …
- In:
Energy economics
110
(
2022
),
pp. 1-16
Persistent link: https://www.econbiz.de/10013349896
Saved in:
8
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:
9
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:
10
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:
11
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:
12
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:
13
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:
14
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:
15
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:
16
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:
17
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:
18
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:
19
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
Saved in:
20
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:
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