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1 Ergebnisse
1
Forecasting the Evolution of Hydropower Generation:
, In:
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
,
Zhou, Fan
;
Li, Liang
;
Zhang, Kunpeng
... - p. 2861-2870 , 2020
Link:
https://dl.acm.org/doi/10.1145/3394486.3403337
RT T1 <cTitle>Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining</cTitle>: T1 <Title>Forecasting the Evolution of Hydropower Generation</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3403337&Exemplar=1&LAN=DE A1 Zhou, Fan A1 Li, Liang A1 Zhang, Kunpeng A1 Trajcevski, Goce A1 Yao, Fuming A1 Huang, Ying A1 Zhong, Ting A1 Wang, Jiahao A1 Liu, Qiao PB ACM YR 2020 K1 bayesian learnning K1 hydropower K1 multivariate time series K1 normalizing flow K1 ordinary differential equations K1 Applied computing K1 Enterprise computing K1 Enterprise information systems K1 Computing methodologies K1 Artificial intelligence K1 Operations research K1 Decision analysis K1 Forecasting K1 Industry and manufacturing SP 2861 OP 2870 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3394486.3403337 DO https://dl.acm.org/doi/10.1145/3394486.3403337 SF ELIB - SuUB Bremen
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