Development of a hybrid computational intelligent model for daily global solar radiation prediction
作者：
Highlights：
• Solar radiation is predicted using novel hybrid computational intelligent model.
• The proposed methodology is examined for four location with Burkina Faso region.
• The prediction matrix is constructed using multiple weather information.
• The proposed model is demonstrated a superior predictability performance.
• Methodology is showed a potential surrogate tool for solar radiation prediction.
摘要
•Solar radiation is predicted using novel hybrid computational intelligent model.•The proposed methodology is examined for four location with Burkina Faso region.•The prediction matrix is constructed using multiple weather information.•The proposed model is demonstrated a superior predictability performance.•Methodology is showed a potential surrogate tool for solar radiation prediction.
论文关键词：Global solar radiation,Hybrid computational intelligent,Energy harvesting,Burkina Faso region,Parametric analysis
论文评审过程：Received 19 April 2021, Revised 25 July 2022, Accepted 25 July 2022, Available online 13 August 2022, Version of Record 15 September 2022.
论文官网地址：https://doi.org/10.1016/j.eswa.2022.118295
