TY  - JOUR 
AU  - Escuela de Ingenierias Industrial, Informática y Aeroespacial
AU  - Alonso Castro, Serafín
AU  - Morán Álvarez, Antonio
AU  - Pérez López, Daniel
AU  - Prada Medrano, Miguel Ángel
AU  - Diaz Blanco, Ignacio
AU  - Domínguez González, Manuel
AU  - Ingenieria de Sistemas y Automatica
DA  - 2020
SN  - 0941-0643
UR  - https://hdl.handle.net/10612/17878
AB  - [EN] Intensive use of heating, ventilation and air conditioning systems in buildings entails monitoring their efficiency. Moreover, cooling systems are key facilities in large buildings and can account up to 44% of the energy consumption. Therefore,...
LA  - eng
PB  - Springer
KW  - Informática
KW  - Ingeniería industrial
KW  - HVAC systems
KW  - Chillers
KW  - Efficiency
KW  - Cooling production
KW  - Soft sensor
KW  - Deep learning
TI  - Estimating cooling production and monitoring efficiency in chillers using a soft sensor
DO  - 10.1007/s00521-020-05165-2
T2  - Neural Computing and Applications
VL  - 32
M2  - 17291
ER  -