TY  - JOUR 
AU  - Márquez Sánchez, Sergio
AU  - Calvo Gallego, Jaime
AU  - Erbad, Aiman
AU  - Ibrar, Muhammad
AU  - Hernandez Fernandez, Javier
AU  - Houchati, Mahdi
AU  - Corchado Rodríguez, Juan Manuel
PY  - 2023
SN  - 2079-9292
UR  - http://hdl.handle.net/10366/160463
AB  - Nowadays, in contemporary building and energy management systems (BEMSs), the predominant approach involves rule-based methodologies, typically employing supervised or unsupervised learning, to deliver energy-saving recommendations to building...
LA  - eng
KW  - Building and energy management systems (BEMSs)
KW  - Edge computing
KW  - Energy efficiency (EE)
KW  - Federated learning (FL)
KW  - Deep reinforcement learning (deep RL)
KW  - Internet of things (IoT)
KW  - Virtual organizations
TI  - Enhancing Building Energy Management: Adaptive Edge Computing for Optimized Efficiency and Inhabitant Comfort
DO  - 10.3390/electronics12194179
T2  - Electronics
VL  - 12
M2  - 4179
ER  -