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1
Bootstrap Aggregating as an ensembled machine learning algo..:
, In:
2023 27th International Electrical Power Distribution Networks Conference (EPDC)
,
Doostparast, Mahdi
;
Pouyani, Mohammad
;
Moghaddam, Mohammad Hossein Yaghmaee
- p. 6-11 , 2023
Link:
https://doi.org/10.1109/EPDC59105.2023.10218875
RT T1 <cTitle>2023 27th International Electrical Power Distribution Networks Conference (EPDC)</cTitle>: T1 <Title>Bootstrap Aggregating as an ensembled machine learning algorithm for power consumption prediction under asymmetric loss with linear model-base learners</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10218875&Exemplar=1&LAN=DE A1 Doostparast, Mahdi A1 Pouyani, Mohammad A1 Moghaddam, Mohammad Hossein Yaghmaee YR 2023 SN 2833-9053 K1 Economics K1 Industries K1 Power demand K1 Machine learning algorithms K1 Stacking K1 Companies K1 Predictive models K1 Consumption Pattern K1 Ensemble Learning K1 LINEX Loss K1 Machine Learning K1 Prediction K1 Squared Error Loss SP 6 OP 11 LK http://dx.doi.org/https://doi.org/10.1109/EPDC59105.2023.10218875 DO https://doi.org/10.1109/EPDC59105.2023.10218875 SF ELIB - SuUB Bremen
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