Occupancy State Prediction by Recurrent Neural Network (LSTM): Multi-Room Context

Occupancy State Prediction by Recurrent Neural Network (LSTM): Multi-Room Context

The energy consumption of a building is significantly influenced by the habits of its occupants. These habits not only pertain to occupancy states, such as presence or absence, but also extend to more detailed aspects of occupant behavior. To accurately capture this information, it is essential to u...

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Bibliographic Details
Main Authors: Mahamadou Klanan Diarra, Amine Maniar, Jean-Baptiste Masson, Bruno Marhic, Laurent Delahoche
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Sensors
Subjects:
machine learning
neural network
artificial neural networks
long short-term memory
occupant behavior
building energy consumption
Online Access:https://www.mdpi.com/1424-8220/23/23/9603

Internet

https://www.mdpi.com/1424-8220/23/23/9603

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