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isPartOf:"Applications of artificial intelligence in finance and economics"
~isPartOf:"International journal of forecasting"
~isPartOf:"Working papers"
~subject:"Energieprognose"
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Alves da Silva, Alexandre P.
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Amara-Ouali, Yvenn
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Applications of artificial intelligence in finance and economics
International journal of forecasting
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Deep probabilistic Koopman : long-term time-series forecasting under periodic uncertainties
Mallen, Alex T.
;
Lange, Henning
;
Kutz, J. Nathan
- In:
International journal of forecasting
40
(
2024
)
3
,
pp. 859-868
Persistent link: https://www.econbiz.de/10014547213
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2
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
Saved in:
3
A hybrid machine learning model for forecasting a billing period’s peak electric load days
Saxena, Harshit
;
Aponte, Omar
;
McConky, Katie T.
- In:
International journal of forecasting
35
(
2019
)
4
,
pp. 1288-1303
Persistent link: https://www.econbiz.de/10012305279
Saved in:
4
Machine learning methods for GEFCom2017 probabilistic load forecasting
Smyl, Slawek
;
Hua, N. Grace
- In:
International journal of forecasting
35
(
2019
)
4
,
pp. 1424-1431
Persistent link: https://www.econbiz.de/10012305365
Saved in:
5
Input space to neural network based load forecasters
Alves da Silva, Alexandre P.
;
Ferreira, Vitor H.
; …
- In:
International journal of forecasting
24
(
2008
)
4
,
pp. 616-629
Persistent link: https://www.econbiz.de/10003808331
Saved in:
6
Short-term wind power forecasting using evolutionary algorithms for the automated specification of artificial intelligence models
Jursa, René
;
Rohrig, Kurt
- In:
International journal of forecasting
24
(
2008
)
4
,
pp. 694-709
Persistent link: https://www.econbiz.de/10003808374
Saved in:
7
A comparison of univariate methods for forecasting electricity demand up to a day ahead
Taylor, James W.
;
De Menezes, Lilian M.
;
McSharry, …
- In:
International journal of forecasting
22
(
2006
)
1
,
pp. 1-16
Persistent link: https://www.econbiz.de/10003283925
Saved in:
8
Forecasting the short-term demand for elasticity : do neural networks stand a better chance ?
Darbellay, Georges A.
;
Slama, Marek
- In:
International journal of forecasting
16
(
2000
)
1
,
pp. 71-83
Persistent link: https://www.econbiz.de/10001451771
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