Deep Learning Neural Networks Trained with MODIS Satellite-Derived Predictors for Long-Term Global Solar Radiation Prediction

Deep Learning Neural Networks Trained with MODIS Satellite-Derived Predictors for Long-Term Global Solar Radiation Prediction

Solar energy predictive models designed to emulate the long-term (e.g., monthly) global solar radiation (<i>GSR</i>) trained with satellite-derived predictors can be employed as decision tenets in the exploration, installation and management of solar energy production systems in remote a...

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Bibliographic Details
Main Authors: Sujan Ghimire, Ravinesh C Deo, Nawin Raj, Jianchun Mi
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Energies
Subjects:
global solar radiation
energy security
deep learning
deep belief network
deep neural network
solar cities in Australia
Online Access:https://www.mdpi.com/1996-1073/12/12/2407

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