TY  - JOUR 
AU  - Torres, José F.
AU  - Divina, Federico
AU  - García Torres, Miguel
AU  - Martínez Alvarez, Francisco
AU  - Troncoso, Alicia
AU  - Universidad Americana (PY)
PY  - 2020
UR  - http://hdl.handle.net/20.500.14066/3783
AB  - The electric energy production would be much more efficient if accurate estimations of the future demand were available, since these would allow allocating only the resources needed for the production of the right amount of energy required. With this...
LA  - eng
KW  - 5 Energía
KW  - ELECTRIC ENERGY
KW  - TIME-SERIES FORECASTING
KW  - DEEP LEARNING
KW  - EVOLUTIONARY COMPUTATION
KW  - NEUROEVOLUTION
TI  - Hybridizing Deep Learning and Neuroevolution: Application to the Spanish Short-Term Electric Energy Consumption Forecasting
DO  - https://doi.org/10.3390/app10165487
T2  - Aplied Sciences
VL  - 10
ER  -