TY  - JOUR 
AU  - Lopez-Martin, Manuel
AU  - Sánchez-Esguevillas, Antonio
AU  - Hernandez-Callejo, Luis
AU  - Arribas, Juan Ignacio
AU  - Carro, Belen
PY  - 2021
UR  - http://hdl.handle.net/10366/154854
AB  - This work brings together and applies a large representation of the most novel forecasting techniques, with origins and applications in other fields, to the short-term electric load forecasting problem. We present a comparison study between different...
LA  - eng
KW  - short-term electric load forecasting
KW  - deep learning
KW  - machine learning
KW  - dynamic mode decomposition
KW  - deep learning ensemble model
TI  - Novel Data-Driven Models Applied to Short-Term Electric Load Forecasting
DO  - 10.3390/app11125708
T2  - Applied Sciences
VL  - 11
M2  - 5708
ER  -