Improving solar radiation forecasting utilizing data augmentation model generative adversarial networks with convolutional support vector machine (GAN-CSVR)

• Main Authors: Mohammed Assaf, Abbas, Haron, Habibollah, Abdull Hamed, Haza Nuzly, A. Ghaleb, Fuad, Dalam, Mhassen Elnour, Elfadil Eisa, Taiseer Abdalla
• Format: Article
• Language: English
• Published: MDPI 2023
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/105138/1/HabibollahHaron2023_ImprovingSolarRadiationForecastingUtilizing.pdf; http://eprints.utm.my/105138/; http://dx.doi.org/10.3390/app132312768
• Institution: Universiti Teknologi Malaysia

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...