Development and Validation of Machine-Learning Clear-Sky Detection Method Using 1-Min Irradiance Data and Sky Imagers at a Polluted Suburban Site, Xianghe

Development and Validation of Machine-Learning Clear-Sky Detection Method Using 1-Min Irradiance Data and Sky Imagers at a Polluted Suburban Site, Xianghe

Clear-sky detection (CSD) is of critical importance in solar energy applications and surface radiative budget studies. Existing CSD methods are not sufficiently validated due to the lack of high-temporal resolution and long-term CSD ground observations, especially at polluted sites. Using five-year...

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Bibliographic Details
Main Authors: Mengqi Liu, Xiangao Xia, Disong Fu, Jinqiang Zhang
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Remote Sensing
Subjects:
clear sky detection
surface irradiance
random forest
total sky imager
bright-sun
Online Access:https://www.mdpi.com/2072-4292/13/18/3763

Internet

https://www.mdpi.com/2072-4292/13/18/3763

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