2-D Convolutional Deep Neural Network for the Multivariate Prediction of Photovoltaic Time Series

2-D Convolutional Deep Neural Network for the Multivariate Prediction of Photovoltaic Time Series

Here, we propose a new deep learning scheme to solve the energy time series prediction problem. The model implementation is based on the use of Long Short-Term Memory networks and Convolutional Neural Networks. These techniques are combined in such a fashion that inter-dependencies among several dif...

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Bibliographic Details
Main Authors: Antonello Rosato, Rodolfo Araneo, Amedeo Andreotti, Federico Succetti, Massimo Panella
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Energies
Subjects:
multivariate prediction
deep learning
energy time series
convolutional neural network
long short-term memory network
Online Access:https://www.mdpi.com/1996-1073/14/9/2392

Internet

https://www.mdpi.com/1996-1073/14/9/2392

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