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isPartOf:"International journal of forecasting"
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International journal of forecasting
European journal of operational research : EJOR
4
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Energy : the international journal ; technologies, resources, reserves, demands, impact, conservation, management, policy
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1
Online hierarchical forecasting for power consumption data
Brégère, Margaux
;
Huard, Malo
- In:
International journal of forecasting
38
(
2022
)
1
,
pp. 339-351
Persistent link: https://www.econbiz.de/10013347793
Saved in:
2
Online distributed learning in wind power forecasting
Sommer, Benedikt
;
Pinson, Pierre
;
Messner, Jakob W.
; …
- In:
International journal of forecasting
37
(
2021
)
1
,
pp. 205-223
Persistent link: https://www.econbiz.de/10012692694
Saved in:
3
Conformal prediction interval estimation and applications to day-ahead and intraday power markets
Kath, Christopher
;
Ziel, Florian
- In:
International journal of forecasting
37
(
2021
)
2
,
pp. 777-799
Persistent link: https://www.econbiz.de/10012792869
Saved in:
4
Assessing the accuracy of electricity production forecasts in developing countries
Steinbuks, Jevgenijs
- In:
International journal of forecasting
35
(
2019
)
3
,
pp. 1175-1185
Persistent link: https://www.econbiz.de/10012305244
Saved in:
5
An ensemble approach to GEFCom2017 probabilistic load forecasting
Landgraf, Andrew J.
- In:
International journal of forecasting
35
(
2019
)
4
,
pp. 1432-1438
Persistent link: https://www.econbiz.de/10012305367
Saved in:
6
Online adaptive lasso estimation in vector autoregressive models for high dimensional wind power forecasting
Messner, Jakob W.
;
Pinson, Pierre
- In:
International journal of forecasting
35
(
2019
)
4
,
pp. 1485-1498
Persistent link: https://www.econbiz.de/10012305378
Saved in:
7
Probabilistic energy forecasting : Global Energy Forecasting Competition 2014 and beyond
Hong, Tao
;
Pinson, Pierre
;
Fan, Shu
;
Zareipour, Hamidreza
; …
- In:
International journal of forecasting
32
(
2016
)
3
,
pp. 896-913
Persistent link: https://www.econbiz.de/10011621881
Saved in:
8
Wind power forecasting using the k-nearest neighbors algorithm
Mangalova, E.
;
Agafonov, E.
- In:
International journal of forecasting
30
(
2014
)
2
,
pp. 402-406
Persistent link: https://www.econbiz.de/10010510891
Saved in:
9
A comparison of periodic autoregressive and dynamic factor models in intraday energy demand forecasting
Mestekemper, Thomas
;
Kauermann, Göran
;
Smith, Michael S.
- In:
International journal of forecasting
29
(
2013
)
1
,
pp. 1-12
Persistent link: https://www.econbiz.de/10009706183
Saved in:
10
Forecasting the electricity load from one day to one week ahead for the Spanish system operator
Cancelo de la Torre, José Ramón
;
Espasa Terrades, Antoni
- In:
International journal of forecasting
24
(
2008
)
4
,
pp. 588-602
Persistent link: https://www.econbiz.de/10003808315
Saved in:
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