Improving Solar Radiation Forecasting in Cloudy Conditions by Integrating Satellite Observations

Improving Solar Radiation Forecasting in Cloudy Conditions by Integrating Satellite Observations

Solar radiation forecasting is the basis of building a robust solar power system. Most ground-based forecasting methods are unable to consider the impact of cloud changes on future solar radiation. To alleviate this limitation, this study develops a hybrid network which relies on a convolutional neu...

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Bibliographic Details
Main Authors: Qiangsheng Bu, Shuyi Zhuang, Fei Luo, Zhigang Ye, Yubo Yuan, Tianrui Ma, Tao Da
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Energies
Subjects:
solar radiation forecasting
convolutional neural network
cloud amount
temporal and spatial scale
solar energy
Online Access:https://www.mdpi.com/1996-1073/17/24/6222
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