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An effective and robust decomp...
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1
Forecasting
energy commodity prices : a large global dataset sparse approach
Ferrario, Davide L.
;
Ravazzolo, Francesco
;
Vespingnani, …
- In:
Energy economics
98
(
2021
),
pp. 1-12
Persistent link: https://www.econbiz.de/10012872633
Saved in:
2
Forecasting
energy commodity prices : a large global dataset sparse approach
Ferrari, Davide
;
Ravazzolo, Francesco
;
Vespignani, Joaquin
-
2021
Persistent link: https://www.econbiz.de/10013179342
Saved in:
3
Forecasting
energy commodity prices : a large global dataset sparse approach
Ferrari, Davide
;
Ravazzolo, Francesco
;
Vespignani, Joaquin
-
2019
Persistent link: https://www.econbiz.de/10012224686
Saved in:
4
Forecasting
energy commodity prices : a large global dataset sparse approach
Ferrario, Davide L.
;
Ravazzolo, Francesco
;
Vespignani, …
-
2019
Persistent link: https://www.econbiz.de/10012175973
Saved in:
5
Modelling and
forecasting
energy market cycles : a generalized smooth transition approach
Canepa, Alessandra
;
Zanetti Chini, Emilio
;
Alqaralleh, …
-
2023
Persistent link: https://www.econbiz.de/10014443885
Saved in:
6
An adaptive multiscale ensemble learning paradigm for nonstationary and nonlinear energy price time series
forecasting
Zhu, Bangzhu
;
Shi, Xuetao
;
Chevallier, Julien
;
Wang, Ping
; …
- In:
Journal of forecasting
35
(
2016
)
7
,
pp. 633-651
Persistent link: https://www.econbiz.de/10011610095
Saved in:
7
Day ahead forecast of complex seasonal natural gas data to enhance procurement efficiency
Naim, Iram
;
Mahara, Tripti
;
Khan, Sharfuddin Ahmed
- In:
International journal of procurement management
13
(
2020
)
6
,
pp. 831-852
Persistent link: https://www.econbiz.de/10012515821
Saved in:
8
Revisiting the holt-winters’ additive method for better
forecasting
Hansun, Seng
;
Charles, Vincent
;
Indrati, Christiana Rini
; …
- In:
International journal of enterprise information systems …
15
(
2019
)
2
,
pp. 43-57
Persistent link: https://www.econbiz.de/10012035863
Saved in:
9
Improving daily occupancy
forecasting
accuracy for hotels based on EEMD-ARIMA model
Zhang, Gaojun
;
Wu, Jinfeng
;
Pan, Bing
;
Li, Junyi
;
Ma, Minjie
- In:
Tourism economics : the business and finance of tourism …
23
(
2017
)
7
,
pp. 1496-1514
Persistent link: https://www.econbiz.de/10011772704
Saved in:
10
Improving the accuracy: volatility modeling and
forecasting
using high-frequency data and the variational component
Kumar, Manish
- In:
Journal of industrial engineering and management : JIEM
3
(
2010
)
1
,
pp. 199-220
simple and threshold jumps and continuous variation yields a substantial improvement in volatility
forecasting
or not. The …
Persistent link: https://www.econbiz.de/10011899155
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