Energy Demand Forecasting Using Deep Learning: Applications for the French Grid

Energy Demand Forecasting Using Deep Learning: Applications for the French Grid

This paper investigates the use of deep learning techniques in order to perform energy demand forecasting. To this end, the authors propose a mixed architecture consisting of a convolutional neural network (CNN) coupled with an artificial neural network (ANN), with the main objective of taking advan...

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Bibliographic Details
Main Authors: Alejandro J. del Real, Fernando Dorado, Jaime Durán
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Energies
Subjects:
energy demand forecasting
deep learning
machine learning
convolutional neural networks
artificial neural networks
Online Access:https://www.mdpi.com/1996-1073/13/9/2242

Internet

https://www.mdpi.com/1996-1073/13/9/2242

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