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1 Ergebnisse
1
A Multi-task Learning Approach to Short-Term Load-Forecasti..:
, In:
2022 IEEE International Conference on Advances in Electrical Engineering and Computer Applications (AEECA)
,
Khalil, Mohamad
;
McGough, Stephen
;
Pourmirza, Zoya
.. - p. 357-363 , 2022
Link:
https://doi.org/10.1109/AEECA55500.2022.9919082
RT T1 <cTitle>2022 IEEE International Conference on Advances in Electrical Engineering and Computer Applications (AEECA)</cTitle>: T1 <Title>A Multi-task Learning Approach to Short-Term Load-Forecasting for Multiple Energy Loads in an Educational Building</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9919082&Exemplar=1&LAN=DE A1 Khalil, Mohamad A1 McGough, Stephen A1 Pourmirza, Zoya A1 Pazhoohesh, Mehdi A1 Walker, Sara YR 2022 K1 Training K1 Energy consumption K1 Smart buildings K1 Architecture K1 Buildings K1 Urban areas K1 Multitasking K1 deep learning K1 multi-task learning K1 forecasting multiple energy load K1 long-short-term-memory K1 encoder-decoder SP 357 OP 363 LK http://dx.doi.org/https://doi.org/10.1109/AEECA55500.2022.9919082 DO https://doi.org/10.1109/AEECA55500.2022.9919082 SF ELIB - SuUB Bremen
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