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AI prediction of energy consumption for a regional renewabl..:

, In: 7th E-Mobility Power System Integration Symposium (EMOB 2023),

Lecon, C. ; Rößler, J. ; Holzinger, J.... - p. None , 2023

Link: https://doi.org/10.1049/icp.2023.2710

RT 
T1 <cTitle>7th E-Mobility Power System Integration Symposium (EMOB 2023)</cTitle>: T1 <Title>AI prediction of energy consumption for a regional renewables power market place</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-10324709&Exemplar=1&LAN=DE
				
A1 Lecon, C.
A1 Rößler, J.
A1 Holzinger, J.
A1 Neufeld, C.
A1 Nagl, A.
A1 Bozem, K.
A1 Ensinger, A.
YR 2023
K1 energy consumption
K1 internal combustion engines
K1 learning (artificial intelligence)
K1 power consumption
K1 power engineering computing
K1 power generation economics
K1 power markets
K1 pricing
K1 renewable energy sources
K1 AI Factory SME
K1 AI prediction
K1 dynamic electricity pricing
K1 EFRE-financed research project
K1 electric vehicles
K1 electricity consumption
K1 electricity demand
K1 machine learning models
K1 mobility sector
K1 regional renewables power market place
K1 renewable energy
K1 transformation
SP None
LK http://dx.doi.org/https://doi.org/10.1049/icp.2023.2710
DO https://doi.org/10.1049/icp.2023.2710
SF ELIB - SuUB Bremen

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