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~subject:"Electricity prices"
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Energy economics
International journal of forecasting
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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
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:
6
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:
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
Saved in:
8
Forecasting of coal and electricity prices in China : evidence from the quantum bee colony-support vector regression neural network
In:
Energy economics
134
(
2024
),
pp. 1-10
Persistent link: https://www.econbiz.de/10015047009
Saved in:
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