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~person:"Böhringer, Christoph"
~person:"Hyndman, Rob J."
~person:"Ravazzolo, Francesco"
~person:"Soytas, Mehmet A."
~subject:"Theory"
~type_genre:"Arbeitspapier"
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Böhringer, Christoph
Hyndman, Rob J.
Ravazzolo, Francesco
Soytas, Mehmet A.
Vespignani, Joaquin
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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:
2
Nonlinear excess demand model for electricity price prediction
Soytas, Mehmet A.
;
Ertugrul, Hasan M.
;
Ulussever, Talat
-
2020
Persistent link: https://www.econbiz.de/10012390632
Saved in:
3
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:
4
Probabilistic time series forecasting with boosted additive models : an application to smart meter data
Ben Taieb, Souhaib
;
Huser, Raphael
;
Hyndman, Rob J.
; …
-
2015
Persistent link: https://www.econbiz.de/10011781252
Saved in:
5
Density forecasting for longterm peak electricity demand
Hyndman, Rob J.
(
contributor
);
Shu Fan
(
contributor
)
-
2008
Persistent link: https://www.econbiz.de/10003778337
Saved in:
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