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1 Ergebnisse
1
Generative Adversarial Network and CNN-LSTM Based Short-Ter..:
, In:
2023 IEEE 17th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG)
,
Liu, Yushan
;
Liang, Zhouchi
;
Li, Xiao
. - p. 1-6 , 2023
Link:
https://doi.org/10.1109/CPE-POWERENG58103.2023.1022747
RT T1 <cTitle>2023 IEEE 17th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG)</cTitle>: T1 <Title>Generative Adversarial Network and CNN-LSTM Based Short-Term Power Load Forecasting</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10227473&Exemplar=1&LAN=DE A1 Liu, Yushan A1 Liang, Zhouchi A1 Li, Xiao A1 Bakeer, Abualkasim YR 2023 SN 2166-9546 K1 Load forecasting K1 Time series analysis K1 Predictive models K1 Data models K1 Hybrid power systems K1 Convolutional neural networks K1 Data mining K1 Generative adversarial network K1 convolutional neural networks K1 long short-term memory K1 load forecasting K1 time series SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/CPE-POWERENG58103.2023.10227473 DO https://doi.org/10.1109/CPE-POWERENG58103.2023.10227473 SF ELIB - SuUB Bremen
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