A Hybrid Deep Neural Network Architecture for Day-Ahead Electricity Forecasting: Post-COVID Paradigm

A Hybrid Deep Neural Network Architecture for Day-Ahead Electricity Forecasting: Post-COVID Paradigm

Predicting energy demand in adverse scenarios, such as the COVID-19 pandemic, is critical to ensure the supply of electricity and the operation of essential services in metropolitan regions. In this paper, we propose a deep learning model to predict the demand for the next day using the “IEEE DataPo...

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Bibliographic Details
Main Authors:	Neilson Luniere Vilaça, Marly Guimarães Fernandes Costa, Cicero Ferreira Fernandes Costa Filho
Format:	Article
Language:	English
Published:	MDPI AG 2023-04-01
Series:	Energies
Subjects:	load forecasting convolutional neural network recurrent neural network COVID-19
Online Access:	https://www.mdpi.com/1996-1073/16/8/3546

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