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Predicting energy poverty with...
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1
Comparison of machine learning predictions of subjective
poverty
in rural China
Maruejols, Lucie Louise
;
Wang, Hanjie
;
Zhao, Qiran
; …
- In:
China agricultural economic review : CAER
15
(
2023
)
2
,
pp. 379-399
Persistent link: https://www.econbiz.de/10014315341
Saved in:
2
Energy
poverty
prediction and effective targeting for just transitions with machine learning
Spandagos, Constantine
;
Tovar Reaños, Miguel Angel
; …
- In:
Energy economics
128
(
2023
),
pp. 1-19
Persistent link: https://www.econbiz.de/10015070491
Saved in:
3
A cross-sectional machine learning approach for hedge fund return prediction and selection
Wu, Wenbo
;
Chen, Jiaqi
;
Yang, Zhibin
;
Tindall, Michael L.
- In:
Management science : journal of the Institute for …
67
(
2021
)
7
,
pp. 4577-4601
Persistent link: https://www.econbiz.de/10012624639
Saved in:
4
Predicting electric vehicle (EV) buyers in
India
: a machine learning approach
Dixit, Sushil Kumar
;
Singh, Ashirwad Kumar
- In:
The review of socionetwork strategies
16
(
2022
)
2
,
pp. 221-238
Persistent link: https://www.econbiz.de/10013461727
Saved in:
5
How useful are tax disclosures in predicting effective tax rates? : a machine learning approach
Guenther, David A.
;
Peterson, Kyle
;
Searcy, Jake
; …
- In:
The accounting review : a publication of the American …
98
(
2023
)
5
,
pp. 297-322
Persistent link: https://www.econbiz.de/10014374974
Saved in:
6
An inquiry into the nexus between artificial intelligence and energy
poverty
in the light of global evidence
Ding, Tao
;
Li, Hao
;
Liu, Li
;
Feng, Kui
- In:
Energy economics
136
(
2024
),
pp. 1-17
Persistent link: https://www.econbiz.de/10015046836
Saved in:
7
Deep learning neural network for the prediction of Asian Tiger stock markets
Yap, Kok-Leong
;
Lau, Wee-Yeap
;
Izlin Ismail
- In:
International journal of financial engineering
8
(
2021
)
4
,
pp. 1-35
Persistent link: https://www.econbiz.de/10012815105
Saved in:
8
Forecasting exchange rates with neural networks : time variation, nonstationarity, and causal models
Reikard, Gordon
- In:
International economic journal
37
(
2023
)
2
,
pp. 202-219
Persistent link: https://www.econbiz.de/10014295003
Saved in:
9
Forecast
of staffing needs for the artificial intelligence sector in Russia
Aver’yanov, A. O.
;
Stepus’, I. S.
;
Gurtov, Valerij A.
- In:
Studies on Russian economic development
34
(
2023
)
1
,
pp. 86-95
Persistent link: https://www.econbiz.de/10014266631
Saved in:
10
Prediction of global trade network evolution with uncertain multi-step time series forecasting method
Chen, Jinran
- In:
Fuzzy optimization and decision making : a journal of …
23
(
2024
)
3
,
pp. 387-414
Persistent link: https://www.econbiz.de/10015079795
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