Short-term solar irradiance forecasting using convolutional neural networks and cloud imagery

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...

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Bibliographic Details
Main Authors: Minsoo Choi, Benjamin Rachunok, Roshanak Nateghi
Format: Article
Language:English
Published: IOP Publishing 2021-01-01
Series:Environmental Research Letters
Subjects:
solar irradiance forecasting
deep learning
convolutional neural network
satellite imagery
remote sensing
renewable energy
Online Access:https://doi.org/10.1088/1748-9326/abe06d

Internet

https://doi.org/10.1088/1748-9326/abe06d

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