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Predictive energy management in an electric vehicle chargin..:

, In: CIRED Porto Workshop 2022: E-mobility and power distribution systems,

Kermia, M. H. ; Boche, J. ; Abbes, D. - p. None , 2022

Link: https://doi.org/10.1049/icp.2022.0851

RT 
T1 <cTitle>CIRED Porto Workshop 2022: E-mobility and power distribution systems</cTitle>: T1 <Title>Predictive energy management in an electric vehicle charging station</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-9841840&Exemplar=1&LAN=DE
				
A1 Kermia, M. H.
A1 Boche, J.
A1 Abbes, D.
YR 2022
K1 battery powered vehicles
K1 distributed power generation
K1 energy management systems
K1 load flow
K1 load forecasting
K1 photovoltaic power systems
K1 power engineering computing
K1 power generation dispatch
K1 power generation planning
K1 power grids
K1 recurrent neural nets
K1 electric vehicle charging
K1 deep learning (artificial intelligence)
K1 EMS
K1 deep-learning model
K1 rule-based algorithm
K1 microgrid
K1 predictive energy management
K1 electric vehicle charging station
K1 energy management system
K1 photovoltaic production forecasts
K1 energy flows
K1 battery
K1 PV production system
K1 EV charging
K1 PV nonproduction
K1 LSTM
K1 dispatch power flow
K1 state of charge
K1 SOC
SP None
LK http://dx.doi.org/https://doi.org/10.1049/icp.2022.0851
DO https://doi.org/10.1049/icp.2022.0851
SF ELIB - SuUB Bremen

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