A review on neural network based models for short term solar irradiance forecasting

• Main Authors: Mohammed Assaf, Abbas, Haron, Habibollah, Abdull Hamed, Haza Nuzly, A. Ghaleb, Fuad, Qasem, Sultan Noman, Albarrak, Abdullah M.
• Format: Article
• Language: English
• Published: Multidisciplinary Digital Publishing Institute (MDPI) 2023
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/105130/1/HabibollahHaron2023_AReviewonNeuralNetworkBasedModels.pdf; http://eprints.utm.my/105130/; http://dx.doi.org/10.3390/app13148332
• Institution: Universiti Teknologi Malaysia

The accuracy of solar energy forecasting is critical for power system planning, management, and operation in the global electric energy grid. Therefore, it is crucial to ensure a constant and sustainable power supply to consumers. However, existing statistical and machine learning algorithms are not...