Comparative Analysis of Neural Networks Techniques to Forecast Global Horizontal Irradiance

Comparative Analysis of Neural Networks Techniques to Forecast Global Horizontal Irradiance

Due to the continuous increasing importance of renewable energy sources as an alternative to fossil fuels, to contrast air pollution and global warming, the prediction of Global Horizontal Irradiation (GHI), one of the main parameters determining solar energy production of photovoltaic systems, repr...

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Bibliographic Details
Main Authors: Alessandro Aliberti, Daniele Fucini, Lorenzo Bottaccioli, Enrico Macii, Andrea Acquaviva, Edoardo Patti
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Solar radiation forecast
artificial neural networks
LSTM
ECHO
photovoltaic system
energy forecast
Online Access:https://ieeexplore.ieee.org/document/9528372/

Internet

https://ieeexplore.ieee.org/document/9528372/

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