Low Redundancy Feature Selection of Short Term Solar Irradiance Prediction Using Conditional Mutual Information and Gauss Process Regression

Low Redundancy Feature Selection of Short Term Solar Irradiance Prediction Using Conditional Mutual Information and Gauss Process Regression

Solar irradiation is influenced by many meteorological features, which results in a complex structure meaning its prediction has low efficiency and accuracy. The existing prediction methods are focused on analyzing the correlation between features and irradiation to reduce model complexity but they...

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Bibliographic Details
Main Authors: Nantian Huang, Ruiqing Li, Lin Lin, Zhiyong Yu, Guowei Cai
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Sustainability
Subjects:
solar irradiation
short-term irradiation prediction
feature selection
Gaussian Process Regression
conditional mutual information
Online Access:http://www.mdpi.com/2071-1050/10/8/2889

Internet

http://www.mdpi.com/2071-1050/10/8/2889

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