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1 Ergebnisse
1
Load Demand Forecasting Using eXtreme Gradient Boosting (XG..:
, In:
2023 IEEE Industry Applications Society Annual Meeting (IAS)
,
Mohamed, Muamar
;
Mahmood, Farhad E.
;
Abd, Mehmmood A.
... - p. 1-7 , 2023
Link:
https://doi.org/10.1109/IAS54024.2023.10406613
RT T1
2023 IEEE Industry Applications Society Annual Meeting (IAS)
: T1
Load Demand Forecasting Using eXtreme Gradient Boosting (XGboost)
UL https://suche.suub.uni-bremen.de/peid=ieee-10406613&Exemplar=1&LAN=DE A1 Mohamed, Muamar A1 Mahmood, Farhad E. A1 Abd, Mehmmood A. A1 Rezkallah, Miloud A1 Hamadi, Abdelhamid A1 Chandra, Ambrish YR 2023 SN 2576-702X K1 Wireless communication K1 Wireless sensor networks K1 Urban areas K1 Demand forecasting K1 Predictive models K1 Data models K1 Load modeling K1 Artificial intelligence K1 machine learning K1 forecasting techniques K1 XGBoost algorithm K1 Load demand K1 Microgrid SP 1 OP 7 LK http://dx.doi.org/https://doi.org/10.1109/IAS54024.2023.10406613 DO https://doi.org/10.1109/IAS54024.2023.10406613 SF ELIB - SuUB Bremen
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