TY  - GEN 
AU  - Bienvenido Huertas, José David
AU  - Pulidos-Arcas, Jesús A.
AU  - Rubio-Bellido, Carlos
AU  - Pérez-Fargallo, Alexis
PY  - 2021
UR  - https://hdl.handle.net/10481/88427
AB  - In recent times, studies about the accuracy of algorithms to predict different aspects of energy use in the building sector have flourished, being energy poverty one of the issues that has received considerable critical attention. Previous studies in...
LA  - eng
PB  - MDPI
KW  - K-nearest neighbors
TI  - Prediction of Fuel Poverty Potential Risk Index Using Six Regression Algorithms: A Case-Study of Chilean Social Dwellings
DO  - 10.3390/su13052426
ER  -