TY  - GEN 
AU  - Severiche Maury, Zurisaddai
AU  - Uc-Ríos, Carlos Eduardo
AU  - Arrubla Hoyos, Wilson
AU  - Cama-Pinto, Dora
AU  - Holgado Terriza, Juan Antonio
AU  - Damas Hermoso, Miguel
AU  - Cama Pinto, Alejandro
PY  - 2025
UR  - https://hdl.handle.net/10481/103051
AB  - In the quest to improve energy efficiency in residential environments, home energy management systems (HEMSs) have emerged as an effective solution, leveraging artificial intelligence (AI) technologies to improve energy efficiency. This study proposes...
LA  - eng
PB  - MDPI
KW  - HEMS
KW  - Energy consumption prediction
KW  - Deep learning
KW  - LSTM
KW  - Networks
TI  - Forecasting Residential Energy Consumption with the Use of Long Short-Term Memory Recurrent Neural Networks
DO  - 10.3390/en18051247
ER  -