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International journal of forecasting
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1
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:
2
Predictive analysis and modelling football results using machine learning approach for English Premier League
Baboota, Rahul
;
Kaur, Harleen
- In:
International journal of forecasting
35
(
2019
)
2
,
pp. 741-755
Persistent link: https://www.econbiz.de/10012300725
Saved in:
3
A semi-empirical approach using
gradient
boosting
and kk-nearest neighbors regression for GEFCom2014 probabilistic solar power forecasting
Huang, Jing
;
Perry, Matthew
- In:
International journal of forecasting
32
(
2016
)
3
,
pp. 1081-1086
Persistent link: https://www.econbiz.de/10011622043
Saved in:
4
GEFCom2014 : probabilistic solar and wind power forecasting using a generalized additive tree ensemble approach
Nagy, Gábor I.
;
Barta, Gergő
;
Kazi, Sándor
; …
- In:
International journal of forecasting
32
(
2016
)
3
,
pp. 1087-1093
Persistent link: https://www.econbiz.de/10011622053
Saved in:
5
A
gradient
boosting
approach to the Kaggle load forecasting competition
Ben Taieb, Souhaib
;
Hyndman, Rob J.
- In:
International journal of forecasting
30
(
2014
)
2
,
pp. 382-394
Persistent link: https://www.econbiz.de/10010510897
Saved in:
6
GEFCom2012 hierarchical load forecasting :
gradient
boosting
machines and Gaussian processes
Lloyd, James Robert
- In:
International journal of forecasting
30
(
2014
)
2
,
pp. 369-374
Persistent link: https://www.econbiz.de/10010510900
Saved in:
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