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1 Ergebnisse
1
Development of Long Short-Term Memory (LSTM) Bayesian Netwo..:
, In:
2021 17th International Conference on Quality in Research (QIR): International Symposium on Electrical and Computer Engineering
,
Sudiana, Dodi
;
Rizkinia, Mia
;
Tristan, Nathanael
- p. 85-89 , 2021
Link:
https://doi.org/10.1109/QIR54354.2021.9716204
RT T1
2021 17th International Conference on Quality in Research (QIR): International Symposium on Electrical and Computer Engineering
: T1
Development of Long Short-Term Memory (LSTM) Bayesian Network Method for Predicting Wind Power Potential in a Wind Power Plant in Indonesia
UL https://suche.suub.uni-bremen.de/peid=ieee-9716204&Exemplar=1&LAN=DE A1 Sudiana, Dodi A1 Rizkinia, Mia A1 Tristan, Nathanael YR 2021 K1 Renewable energy sources K1 Smoothing methods K1 Wind energy K1 Uranium K1 Training data K1 Wind power generation K1 Bayes methods K1 Wind turbine (PLTB) K1 Wind power K1 Intermittent K1 TES K1 MLSTM K1 Weather Research and Forecasting K1 Bayesian Network K1 MSE SP 85 OP 89 LK http://dx.doi.org/https://doi.org/10.1109/QIR54354.2021.9716204 DO https://doi.org/10.1109/QIR54354.2021.9716204 SF ELIB - SuUB Bremen
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