TY  - JOUR 
AU  - Pensado Mariño, Martín
AU  - Febrero Garrido, Lara
AU  - Eguía Oller, Pablo
AU  - Granada Álvarez, Enrique
PY  - 2021
SN  - 20711050
UR  - http://hdl.handle.net/11093/2858
AB  - The use of Machine Learning models is becoming increasingly widespread to assess energy performance of a building. In these models, the accuracy of the results depends largely on outdoor conditions. However, getting these data on-site is not always...
LA  - eng
PB  - Sustainability
TI  - Feasibility of different weather data sources applied to building indoor temperature estimation using LSTM neural networks
DO  - 10.3390/su132413735
ER  -