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/10366/154858
AB  - This work proposes a quantile regression neural network based on a novel constrained weighted quantile loss (CWQLoss) and its application to probabilistic short and medium-term electric-load forecasting of special interest for smart grids operations....
LA  - eng
KW  - short and medium-term electric-load forecasting
KW  - quantile forecasting
KW  - deep learning
KW  - machine learning
KW  - deep learning additive ensemble model
TI  - Additive Ensemble Neural Network with Constrained Weighted Quantile Loss for Probabilistic Electric-Load Forecasting
DO  - 10.3390/s21092979
T2  - Sensors
VL  - 21
M2  - 2979
ER  -