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1 Ergebnisse
1
LSTM-based Multi-Step SOC Forecasting of Battery Energy Sto..:
Ardiansyah Ardiansyah (11241801)
;
Yeonghyeon Kim (11241807)
;
Deokjai Choi (11241815)
https://figshare.com/articles/preprint/LSTM-based_Multi-Step_SOC_Forecasting_of_Battery_Energy_Storage_in_Grid_Ancillary_Services/15124416. , 2021
Link:
https://doi.org/10.36227/techrxiv.15124416.v1
RT Journal T1 <Title>LSTM-based Multi-Step SOC Forecasting of Battery Energy Storage in Grid Ancillary Services</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_15124416&Exemplar=1&LAN=DE A1 Ardiansyah Ardiansyah (11241801) A1 Yeonghyeon Kim (11241807) A1 Deokjai Choi (11241815) YR 2021 K1 Power K1 Energy and Industry Applications K1 Signal Processing and Analysis K1 Computing and Processing K1 Battery Energy Storage System (BESS) K1 Time Series Forecasting K1 Ancillary services K1 Deep Learning Applications JF https://figshare.com/articles/preprint/LSTM-based_Multi-Step_SOC_Forecasting_of_Battery_Energy_Storage_in_Grid_Ancillary_Services/15124416 LK http://dx.doi.org/https://doi.org/10.36227/techrxiv.15124416.v1 DO https://doi.org/10.36227/techrxiv.15124416.v1 SF ELIB - SuUB Bremen
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