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GEFCom2012: Electric load fore...
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GEFCom2012 : electric load forecasting and backcasting with semi-parametric models
Nedellec, Raphael
;
Cugliari, Jairo
;
Goude, Yannig
- In:
International journal of forecasting
30
(
2014
)
2
,
pp. 375-381
Persistent link: https://www.econbiz.de/10010510898
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2
Simulation of multicriteria data
Cugliari, Jairo
;
Rolland, Antoine
- In:
EURO Journal on decision processes
6
(
2018
)
1/2
,
pp. 21-37
Persistent link: https://www.econbiz.de/10011889455
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3
A prediction interval for a function-valued forecast model : application to load forecasting
Antoniadis, Anestis
;
Brossat, Xavier
;
Cugliari, Jairo
; …
- In:
International journal of forecasting
32
(
2016
)
3
,
pp. 939-947
Persistent link: https://www.econbiz.de/10011621897
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Clustering electricity consumers using high‐dimensional regression mixture models
Devijver, Emilie
;
Goude, Yannig
;
Poggi, Jean‐Michel
- In:
Applied Stochastic Models in Business and Industry
36
(
2019
)
1
,
pp. 159-177
Persistent link: https://www.econbiz.de/10012272470
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5
Additive models and robust aggregation for GEFCom2014 probabilistic electric load and electricity price forecasting
Gaillard, Pierre
;
Goude, Yannig
;
Nedellec, Raphaël
- In:
International journal of forecasting
32
(
2016
)
3
,
pp. 1038-1050
Persistent link: https://www.econbiz.de/10011621991
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6
Forecasting high resolution electricity demand data with additive models including smooth and jagged components
Amato, Umberto
;
Antoniadis, Anestis
;
De Feis, Italia
; …
- In:
International journal of forecasting
37
(
2021
)
1
,
pp. 171-185
Persistent link: https://www.econbiz.de/10012692688
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7
Hierarchical transfer learning with applications to electricity load forecasting
Antoniadis, Anestis
;
Gaucher, Solenne
;
Goude, Yannig
- In:
International journal of forecasting
40
(
2024
)
2
,
pp. 641-660
Persistent link: https://www.econbiz.de/10014547191
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8
Daily peak electrical load forecasting with a multi-resolution approach
Amara-Ouali, Yvenn
;
Fasiolo, Matteo
;
Goude, Yannig
;
Yan, Hui
- In:
International journal of forecasting
39
(
2023
)
3
,
pp. 1272-1286
Persistent link: https://www.econbiz.de/10014465270
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