Short-term solar irradiance forecasting using convolutional neural networks and cloud imagery
Access to accurate, generalizable and scalable solar irradiance prediction is critical for smooth solar-grid integration, especially in the light of the accelerated global adoption of solar energy production. Both physical and statistical prediction models of solar irradiance have been proposed in t...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
IOP Publishing
2021-01-01
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Series: | Environmental Research Letters |
Subjects: | |
Online Access: | https://doi.org/10.1088/1748-9326/abe06d |