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Optimizing Smart Home Energy Forecasting: Unveiling Superio..:

, In: 2024 4th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET),

BHIH, Mouad ; Abou Elassad, Zouhair Elamrani ; AMEKSA, Mohammed... - p. 1-7 , 2024

Link: https://doi.org/10.1109/IRASET60544.2024.10548233

RT 
T1 <cTitle>2024 4th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)</cTitle>: T1 <Title>Optimizing Smart Home Energy Forecasting: Unveiling Superiority among RBFNN, ESN, and LSTM</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-10548233&Exemplar=1&LAN=DE
				
A1 BHIH, Mouad
A1 Abou Elassad, Zouhair Elamrani
A1 AMEKSA, Mohammed
A1 Boustani, Abdelhakim El
A1 Meslouhi, Othmane EL
A1 Abou Elassad, Dauha Elamrani
YR 2024
K1 Performance evaluation
K1 Energy consumption
K1 Smart homes
K1 Radial basis function networks
K1 Predictive models
K1 Solids
K1 Sustainable development
K1 IoT devices
K1 Residential energy consumption
K1 Radial Basis Function Neural Networks (RBFNN)
K1 Echo State Networks (ESN)
K1 Long Short-Term Memory (LSTM)
K1 Performance metrics
K1 Recursive Feature Elimination (RFE)
K1 Predictive accuracy
K1 Sustainable energy management
K1 Global sustainability goals
K1 Empirical insights
SP 1
OP 7
LK http://dx.doi.org/https://doi.org/10.1109/IRASET60544.2024.10548233
DO https://doi.org/10.1109/IRASET60544.2024.10548233
SF ELIB - SuUB Bremen

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