Short-term cloud coverage prediction using the ARIMA time series model-Reference-Cited by-同舟云学术

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Short-term cloud coverage prediction using the ARIMA time series model

Published:2017-12-19 Issue:3 Volume:9 Page:274-283
ISSN:2150-704X
Container-title:Remote Sensing Letters
language:en
Short-container-title:Remote Sensing Letters

Author:

Wang Yu¹²³,Wang Chunheng¹,Shi Cunzhao¹,Xiao Baihua¹

Affiliation:

1. State Key Laboratory of Management and Control for Complex Systems, Chinese Academy of Sciences, Beijing, China

2. Institute of Automation, University of Chinese Academy of Sciences, Beijing, China

3. School of Software, Shanxi University, Taiyuan, China

Funder

National Natural Science Foundation of China (NSFC)

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Earth and Planetary Sciences (miscellaneous)

Link

https://www.tandfonline.com/doi/pdf/10.1080/2150704X.2017.1418992

Reference30 articles.

1. Use of autoregressive models to generate a series of daily averaged point cloudiness values

2. Solar Radiation Estimation From Cloudiness Data. Satellite Vs. Ground-Based Observations

3. New models to compute solar global hourly irradiation from point cloudiness

4. New types of simple non-linear models to compute solar global irradiance from cloud cover amount

5. CMSAF products Cloud Fraction Coverage and Cloud Type used for solar global irradiance estimation

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