TY  - JOUR 
AU  - Pensado Mariño, Martín
AU  - Febrero Garrido, Lara
AU  - Pérez-Iribarren, Estibaliz
AU  - Eguía Oller, Pablo
AU  - Granada Álvarez, Enrique
PY  - 2021
SN  - 19961073
UR  - http://hdl.handle.net/11093/2465
AB  - Accurate forecasting of a building thermal performance can help to optimize its energy consumption. In addition, obtaining the Heat Loss Coefficient (HLC) allows characterizing the thermal envelope of the building under conditions of use. The aim of...
LA  - eng
PB  - Energies
TI  - Estimation of heat loss coefficient and thermal demands of in-use building by capturing thermal inertia using LSTM neural networks
DO  - 10.3390/en14165188
ER  -