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1 Ergebnisse
1
Optimizing CNN-LSTM Model for Short-term PV Power Predictio..:
, In:
2023 6th International Conference on Power and Energy Applications (ICPEA)
,
Wu, Xingdong
;
He, Liping
;
Wu, Guangsheng
.. - p. 248-252 , 2023
Link:
https://doi.org/10.1109/ICPEA59834.2023.10398704
RT T1 <cTitle>2023 6th International Conference on Power and Energy Applications (ICPEA)</cTitle>: T1 <Title>Optimizing CNN-LSTM Model for Short-term PV Power Prediction using Northern Goshawk Optimization</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10398704&Exemplar=1&LAN=DE A1 Wu, Xingdong A1 He, Liping A1 Wu, Guangsheng A1 Liu, Binwei A1 Song, Dongming YR 2023 K1 Photovoltaic systems K1 Neurons K1 Predictive models K1 Power system stability K1 Prediction algorithms K1 Feature extraction K1 Stability analysis K1 photovoltaic power prediction K1 Northern Goshawk Optimization K1 convolutional neural network K1 long short-term memory SP 248 OP 252 LK http://dx.doi.org/https://doi.org/10.1109/ICPEA59834.2023.10398704 DO https://doi.org/10.1109/ICPEA59834.2023.10398704 SF ELIB - SuUB Bremen
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