Additive Ensemble Neural Network with Constrained Weighted Quantile Loss for Probabilistic Electric-Load Forecasting

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. The method allows any point forecast neural netwo...

Descripción completa

Detalles Bibliográficos
Autores principales: Lopez-Martin, Manuel, Sanchez-Esguevillas, Antonio, Hernandez-Callejo, Luis, Arribas, Juan Ignacio, Carro, Belen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8123084/
https://www.ncbi.nlm.nih.gov/pubmed/33922814
http://dx.doi.org/10.3390/s21092979

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8123084/
https://www.ncbi.nlm.nih.gov/pubmed/33922814
http://dx.doi.org/10.3390/s21092979

Ejemplares similares