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...

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Bibliographic Details

Published in:	Sensors
Main Authors:	Manuel Lopez-Martin, Antonio Sanchez-Esguevillas, Luis Hernandez-Callejo, Juan Ignacio Arribas, Belen Carro
Format:	Article
Language:	English
Published:	MDPI AG 2021-04-01
Subjects:	short and medium-term electric-load forecasting quantile forecasting deep learning machine learning deep learning additive ensemble model
Online Access:	https://www.mdpi.com/1424-8220/21/9/2979