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1 Ergebnisse
1
Short-term Wind Load Prediction Considering Coupling Charac..:
, In:
2023 6th International Conference on Renewable Energy and Power Engineering (REPE)
,
Feng, Nan
;
Luo, Sha
;
Zhou, Jian
... - p. 242-246 , 2023
Link:
https://doi.org/10.1109/REPE59476.2023.10511989
RT T1 <cTitle>2023 6th International Conference on Renewable Energy and Power Engineering (REPE)</cTitle>: T1 <Title>Short-term Wind Load Prediction Considering Coupling Characteristics of Multi-energy Complementary System</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10511989&Exemplar=1&LAN=DE A1 Feng, Nan A1 Luo, Sha A1 Zhou, Jian A1 Feng, Xiaorao A1 Zhang, Yufan A1 Zhong, Zhen A1 Wang, Bing YR 2023 SN 2771-7011 K1 Industries K1 Renewable energy sources K1 Power engineering K1 Load forecasting K1 Wind speed K1 Neural networks K1 Predictive models K1 wind speed and Electricity Load Forecasting K1 short-term prediction K1 Empirical Mode Decomposition (EMD) K1 Gated Recurrent Unit (GRU) neural network SP 242 OP 246 LK http://dx.doi.org/https://doi.org/10.1109/REPE59476.2023.10511989 DO https://doi.org/10.1109/REPE59476.2023.10511989 SF ELIB - SuUB Bremen
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