Unbiased cross-validation kernel density estimation for wind and PV probabilistic modelling

Maisam Wahbah,Baraa Mohandes,Tarek H.M. EL-Fouly,Mohamed Shawky El Moursi

Energy Conversion and Management（2022）

引用 18|浏览8

暂无评分

摘要

•The KDE-UCV is introduced for the first time for long-term power system planning.•The nonparametric model is applied to both of wind speed and solar irradiance datasets.•KDE-UCV produces accurate probability densities than conventional approaches.•Assessments reveal robust performance with high R2 and low error metrics.•K-S test results indicate a clear evidence of a good fit for the KDE-UCV estimator.

查看译文

关键词

Nonparametric estimation,Parametric models,Probability density estimation,Probabilistic models,Solar irradiance models,Wind speed models

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要