Hybrid Machine Learning for Solar Radiation Prediction in Reduced Feature Spaces

Hybrid Machine Learning for Solar Radiation Prediction in Reduced Feature Spaces

Solar radiation prediction is an important process in ensuring optimal exploitation of solar energy power. Numerous models have been applied to this problem, such as numerical weather prediction models and artificial intelligence models. However, well-designed hybridization approaches that combine n...

Full description

Bibliographic Details
Main Authors: Abdel-Rahman Hedar, Majid Almaraashi, Alaa E. Abdel-Hakim, Mahmoud Abdulrahim
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Energies
Subjects:
solar energy
solar radiation prediction
hybrid machine learning
feature selection
feature extraction
classification algorithms
Online Access:https://www.mdpi.com/1996-1073/14/23/7970

Internet

https://www.mdpi.com/1996-1073/14/23/7970

Similar Items