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1 Ergebnisse
1
Supervised Machine Learning Techniques for Power Consumptio..:
, In:
2023 6th International Conference on Software Engineering and Computer Science (CSECS)
,
Tan, Yi-Fei
;
Zhao, Ge-Zhi
;
Cheeng, Tze-Hang
... - p. 1-5 , 2023
Link:
https://doi.org/10.1109/CSECS60003.2023.10428312
RT T1 <cTitle>2023 6th International Conference on Software Engineering and Computer Science (CSECS)</cTitle>: T1 <Title>Supervised Machine Learning Techniques for Power Consumption Usage Level Prediction</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10428312&Exemplar=1&LAN=DE A1 Tan, Yi-Fei A1 Zhao, Ge-Zhi A1 Cheeng, Tze-Hang A1 Ooi, Chee-Pun A1 Tan, Wooi-Haw A1 Cheong, Soon-Nyean YR 2023 K1 Power demand K1 Transportation K1 Predictive models K1 Information and communication technology K1 Random forests K1 Strain K1 Software engineering K1 power consumption level K1 prediction K1 supervised machine learning SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/CSECS60003.2023.10428312 DO https://doi.org/10.1109/CSECS60003.2023.10428312 SF ELIB - SuUB Bremen
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