Near Real-Time Global Solar Radiation Forecasting at Multiple Time-Step Horizons Using the Long Short-Term Memory Network

Near Real-Time Global Solar Radiation Forecasting at Multiple Time-Step Horizons Using the Long Short-Term Memory Network

This paper aims to develop the long short-term memory (LSTM) network modelling strategy based on deep learning principles, tailored for the very short-term, near-real-time global solar radiation (GSR) forecasting. To build the prescribed LSTM model, the partial autocorrelation function is applied to...

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Bibliographic Details
Main Authors: Anh Ngoc-Lan Huynh, Ravinesh C. Deo, Duc-Anh An-Vo, Mumtaz Ali, Nawin Raj, Shahab Abdulla
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Energies
Subjects:
solar radiation
long short-term memory network
near real-time solar radiation forecasting
Online Access:https://www.mdpi.com/1996-1073/13/14/3517

Internet

https://www.mdpi.com/1996-1073/13/14/3517

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