TY  - JOUR 
AU  - Al-Shargabi, Amal A.
AU  - Almhafdy, Abdulbasit
AU  - Ibrahim, Dina M.
AU  - Alghieth, Manal
AU  - Chiclana Parrilla, Francisco
PY  - 2021
UR  - http://hdl.handle.net/10481/71457
AB  - The dramatic growth in the number of buildings worldwide has led to an increase interest
in predicting energy consumption, especially for the case of residential buildings. As the heating and
cooling system highly affect the operation cost of...
LA  - eng
PB  - MDPI
KW  - Building characteristics
KW  - Deep neural networks
KW  - Hyper-parameter tuning
KW  - Predictive models
KW  - Energy consumption
KW  - Heating and cooling loads
TI  - Tuning Deep Neural Networks for Predicting Energy Consumption in Arid Climate Based on Buildings Characteristics
DO  - 10.3390/su132212442
ER  -