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1
Electricity Demand Forecasting in Future Grid States: A Dig..:
, In:
2024 9th International Conference on Smart and Sustainable Technologies (SpliTech)
,
Bayer, Daniel R.
;
Haag, Felix
;
Pruckner, Marco
. - p. 1-6 , 2024
Link:
https://doi.org/10.23919/SpliTech61897.2024.10612563
RT T1
2024 9th International Conference on Smart and Sustainable Technologies (SpliTech)
: T1
Electricity Demand Forecasting in Future Grid States: A Digital Twin-Based Simulation Study
UL https://suche.suub.uni-bremen.de/peid=ieee-10612563&Exemplar=1&LAN=DE A1 Bayer, Daniel R. A1 Haag, Felix A1 Pruckner, Marco A1 Hopf, Konstantin YR 2024 K1 Renewable energy sources K1 Heat pumps K1 Electricity K1 Prediction methods K1 Machine learning K1 Smart meters K1 Task analysis K1 Digital twin K1 Demand forecasting K1 Future energy systems K1 Simulation K1 Neural networks SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.23919/SpliTech61897.2024.10612563 DO https://doi.org/10.23919/SpliTech61897.2024.10612563 SF ELIB - SuUB Bremen
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