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1 Ergebnisse
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Predicting 24-hours ahead photovoltaic power output using f..:
, In:
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing
,
Kim, Jaehyun
;
Kim, Taehyoung
;
Lee, Jieun
. - p. 1462-1464 , 2019
Link:
https://dl.acm.org/doi/10.1145/3297280.3297593
RT T1
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing
: T1
Predicting 24-hours ahead photovoltaic power output using forecast information
UL https://suche.suub.uni-bremen.de/peid=acm-3297593&Exemplar=1&LAN=DE A1 Kim, Jaehyun A1 Kim, Taehyoung A1 Lee, Jieun A1 Ham, Kyung Sun PB ACM YR 2019 K1 data analysis K1 data mining K1 data processing K1 energy forecast K1 support vector regression K1 time series data K1 Computing methodologies K1 Modeling and simulation SP 1462 OP 1464 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3297280.3297593 DO https://dl.acm.org/doi/10.1145/3297280.3297593 SF ELIB - SuUB Bremen
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