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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Autori principali:	Anh Ngoc-Lan Huynh, Ravinesh C. Deo, Duc-Anh An-Vo, Mumtaz Ali, Nawin Raj, Shahab Abdulla
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2020-07-01
Serie:	Energies
Soggetti:	solar radiation long short-term memory network near real-time solar radiation forecasting
Accesso online:	https://www.mdpi.com/1996-1073/13/14/3517
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