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Ensemble learning models for short-term electricity demand ..:
, In:
2020 International Conference on Data Analytics for Business and Industry: Way Towards a Sustainable Economy (ICDABI)
,
Ghareeb, Ahmed
;
Al-bayaty, Hussein
;
Haseeb, Qubad
. - p. 1-5 , 2020
Link:
https://doi.org/10.1109/ICDABI51230.2020.9325623
RT T1 <cTitle>2020 International Conference on Data Analytics for Business and Industry: Way Towards a Sustainable Economy (ICDABI)</cTitle>: T1 <Title>Ensemble learning models for short-term electricity demand forecasting</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9325623&Exemplar=1&LAN=DE A1 Ghareeb, Ahmed A1 Al-bayaty, Hussein A1 Haseeb, Qubad A1 Zeinalabideen, Mohammed YR 2020 K1 Predictive models K1 Biological system modeling K1 Forecasting K1 Data models K1 Artificial neural networks K1 Load modeling K1 Time series analysis K1 Energy informatics K1 Load forecasting K1 Artificial neural network K1 Random forest K1 Generalized linear model SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/ICDABI51230.2020.9325623 DO https://doi.org/10.1109/ICDABI51230.2020.9325623 SF ELIB - SuUB Bremen
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