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1 Ergebnisse
1
Predicting the Energy Meter Demand by a Window-based Gradie..:
, In:
2023 IEEE International Symposium on Product Compliance Engineering - Asia (ISPCE-ASIA)
,
Zhang, Lijuan
;
Wang, Jiao
;
Zeng, Qingjuan
... - p. 1-6 , 2023
Link:
https://doi.org/10.1109/ISPCE-ASIA60405.2023.10366035
RT T1 <cTitle>2023 IEEE International Symposium on Product Compliance Engineering - Asia (ISPCE-ASIA)</cTitle>: T1 <Title>Predicting the Energy Meter Demand by a Window-based Gradient Boosting Regression Tree Model</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10366035&Exemplar=1&LAN=DE A1 Zhang, Lijuan A1 Wang, Jiao A1 Zeng, Qingjuan A1 Zhou, Houyuan A1 Hu, Minxian A1 Guo, Yuanyuan A1 Wang, Qiuwen YR 2023 SN 2831-3410 K1 Meters K1 Procurement K1 Time series analysis K1 Companies K1 Predictive models K1 Boosting K1 Power grids K1 energy meter K1 demand prediction K1 time series prediction K1 window-based Gradient Boosting Regression Tree SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ISPCE-ASIA60405.2023.10366035 DO https://doi.org/10.1109/ISPCE-ASIA60405.2023.10366035 SF ELIB - SuUB Bremen
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