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1 Ergebnisse
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City scale energy demand forecasting using machine learning..:
, In:
Proceedings of the Second International Conference on Data Science, E-Learning and Information Systems
,
Al-bayaty, Hussein
;
Mohammed, Tareq
;
Ghareeb, Ahmed
. - p. 1-9 , 2019
Link:
https://dl.acm.org/doi/10.1145/3368691.3368716
RT T1
Proceedings of the Second International Conference on Data Science, E-Learning and Information Systems
: T1
City scale energy demand forecasting using machine learning based models : a comparative study
UL https://suche.suub.uni-bremen.de/peid=acm-3368716&Exemplar=1&LAN=DE A1 Al-bayaty, Hussein A1 Mohammed, Tareq A1 Ghareeb, Ahmed A1 Wang, Weimin PB ACM YR 2019 K1 data mining K1 electricity consumption K1 energy informatics K1 load forecasting K1 machine learning K1 Computing methodologies K1 Modeling and simulation K1 Simulation types and techniques K1 Massively parallel and high-performance simulations K1 Information systems K1 Data management systems K1 Database management system engines SP 1 OP 9 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3368691.3368716 DO https://dl.acm.org/doi/10.1145/3368691.3368716 SF ELIB - SuUB Bremen
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