Deep Neural Networks for Multivariate Prediction of Photovoltaic Power Time Series

Deep Neural Networks for Multivariate Prediction of Photovoltaic Power Time Series

The large-scale penetration of renewable energy sources is forcing the transition towards the future electricity networks modeled on the smart grid paradigm, where energy clusters call for new methodologies for the dynamic energy management of distributed energy resources and foster to form partners...

Full description

Bibliographic Details
Main Authors: Federico Succetti, Antonello Rosato, Rodolfo Araneo, Massimo Panella
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Photovoltaic power time series
multivariate prediction
energy management system
deep learning
long short-term memory network
convolutional neural network
Online Access:https://ieeexplore.ieee.org/document/9265261/

Internet

https://ieeexplore.ieee.org/document/9265261/

Similar Items