Deep Learning to Forecast Solar Irradiance Using a Six-Month UTSA SkyImager Dataset

Deep Learning to Forecast Solar Irradiance Using a Six-Month UTSA SkyImager Dataset

Distributed PV power generation necessitates both intra-hour and day-ahead forecasting of solar irradiance. The UTSA SkyImager is an inexpensive all-sky imaging system built using a Raspberry Pi computer with camera. Reconfigurable for different operational environments, it has been deployed at the...

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Bibliographic Details
Main Authors: Ariana Moncada, Walter Richardson, Rolando Vega-Avila
Format: Article
Language:English
Published: MDPI AG 2018-07-01
Series:Energies
Subjects:
solar irradiance forecasting
all-sky imaging
optical flow
artificial intelligence
deep learning
decision tree learning
Online Access:http://www.mdpi.com/1996-1073/11/8/1988

Internet

http://www.mdpi.com/1996-1073/11/8/1988

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