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Time series machine learning augmented with social network ..:

, In: 27th International Conference on Electricity Distribution (CIRED 2023),

Alyafi, A. ; Cauchois, P. ; Delinchant, B.. - p. None , 2023

Link: https://doi.org/10.1049/icp.2023.1222

RT 
T1 <cTitle>27th International Conference on Electricity Distribution (CIRED 2023)</cTitle>: T1 <Title>Time series machine learning augmented with social network events to improve national electricity consumption profile estimation</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-10267156&Exemplar=1&LAN=DE
				
A1 Alyafi, A.
A1 Cauchois, P.
A1 Delinchant, B.
A1 Berges, A.
YR 2023
K1 artificial intelligence
K1 energy consumption
K1 learning (artificial intelligence)
K1 mean square error methods
K1 power consumption
K1 power engineering computing
K1 power grids
K1 power markets
K1 social networking (online)
K1 time series
K1 complete method
K1 electricity demand
K1 electricity market settlement
K1 energy demand
K1 energy load investigation
K1 energy production
K1 French electrical grid
K1 grid stability
K1 human activities
K1 identifying quantifying important human events
K1 industrial profile
K1 load profile estimation
K1 main factors impact
K1 meteorological conditions
K1 national electricity consumption profile estimation
K1 profile load estimation
K1 residential profile
K1 social media
K1 social network events
K1 standard energy profile
K1 time series machine
K1 transfer learning
SP None
LK http://dx.doi.org/https://doi.org/10.1049/icp.2023.1222
DO https://doi.org/10.1049/icp.2023.1222
SF ELIB - SuUB Bremen

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