Improving Solar Radiation Forecasting Utilizing Data Augmentation Model Generative Adversarial Networks with Convolutional Support Vector Machine (GAN-CSVR)

Improving Solar Radiation Forecasting Utilizing Data Augmentation Model Generative Adversarial Networks with Convolutional Support Vector Machine (GAN-CSVR)

The accuracy of solar radiation forecasting depends greatly on the quantity and quality of input data. Although deep learning techniques have robust performance, especially when dealing with temporal and spatial features, they are not sufficient because they do not have enough data for training. The...

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Bibliographic Details
Main Authors: Abbas Mohammed Assaf, Habibollah Haron, Haza Nuzly Abdull Hamed, Fuad A. Ghaleb, Mhassen Elnour Dalam, Taiseer Abdalla Elfadil Eisa
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Applied Sciences
Subjects:
convolutional neural network
data augmentation
generative adversarial network
loss function
support vector regression
solar radiation data
Online Access:https://www.mdpi.com/2076-3417/13/23/12768

Internet

https://www.mdpi.com/2076-3417/13/23/12768

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