Spatial mapping of short-term solar radiation prediction incorporating geostationary satellite images coupled with deep convolutional LSTM networks for South Korea

Spatial mapping of short-term solar radiation prediction incorporating geostationary satellite images coupled with deep convolutional LSTM networks for South Korea

A practical approach to continuously monitor and provide real-time solar energy prediction can help support reliable renewable energy supply and relevant energy security systems. In this study on the Korean Peninsula, contemporaneous solar radiation images obtained from the Communication, Ocean and...

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Bibliographic Details
Main Authors: Jong-Min Yeom, Ravinesh C Deo, Jan F Adamowski, Seonyoung Park, Chang-Suk Lee
Format: Article
Language:English
Published: IOP Publishing 2020-01-01
Series:Environmental Research Letters
Subjects:
solar radiation prediction
convolutional neural network
long short-term memory
COMS-MI
pyranometer
deep learning
Online Access:https://doi.org/10.1088/1748-9326/ab9467

Internet

https://doi.org/10.1088/1748-9326/ab9467

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