Stacking Ensemble Methodology Using Deep Learning and ARIMA Models for Short-Term Load Forecasting

Short-Term Load Forecasting is critical for reliable power system operation, and the search for enhanced methodologies has been a constant field of investigation, particularly in an increasingly competitive environment where the market operator and its participants need to better inform their decisi...

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Bibliographic Details

Published in:	Energies
Main Authors:	Pedro M. R. Bento, Jose A. N. Pombo, Maria R. A. Calado, Silvio J. P. S. Mariano
Format:	Article
Language:	English
Published:	MDPI AG 2021-11-01
Subjects:	ARIMA models correlation analysis deep learning deep neural networks ensemble methods ISO New England
Online Access:	https://www.mdpi.com/1996-1073/14/21/7378