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Linear Multistep F10.7 Forecasting Based on Task Correlation and Heteroscedasticity

文献类型:期刊论文

作者Wang, Zhen; Hu, Qinghua; Zhong, Qiuzhen; Wang, Yun
刊名EARTH AND SPACE SCIENCE
出版日期2018
卷号5期号:12页码:863-874
ISSN号2333-5084
DOI10.1029/2018EA000393
英文摘要Solar 10.7-cm radio flux (F10.7) is an important measure of solar radio emission activity. Accurate F10.7 forecasting plays a key role in both space weather and global environment forecasts. We discover that forecasting errors are heteroscedastic, something that is not often considered in previous models. In addition, task correlation between different forecasting steps is ignored in current multistep-ahead forecast models. In this work, we propose a linear multistep forecasting model based on the correlation between different forecasting steps and the characteristic of heteroscedasticity. Further, we introduce a variational Bayesian procedure to optimize the model. The performance of the proposed model is tested on F10.7 historical data. The results show that the proposed model improves the performance of multistep F10.7 forecasting by considering correlation and heteroscedasticity. Plain Language Summary The solar 10.7-cm radio flux (F10.7) is an important measure of solar radio emission activity. We introduce a model that considers the task correlation between different forecasting steps and heteroscedasticity, which are not considered before. The results on F10.7 historical data show that the proposed model has better performance.
语种英语
源URL[http://ir.nssc.ac.cn/handle/122/6678]  
专题国家空间科学中心_空间环境部
推荐引用方式
GB/T 7714
Wang, Zhen,Hu, Qinghua,Zhong, Qiuzhen,et al. Linear Multistep F10.7 Forecasting Based on Task Correlation and Heteroscedasticity[J]. EARTH AND SPACE SCIENCE,2018,5(12):863-874.
APA Wang, Zhen,Hu, Qinghua,Zhong, Qiuzhen,&Wang, Yun.(2018).Linear Multistep F10.7 Forecasting Based on Task Correlation and Heteroscedasticity.EARTH AND SPACE SCIENCE,5(12),863-874.
MLA Wang, Zhen,et al."Linear Multistep F10.7 Forecasting Based on Task Correlation and Heteroscedasticity".EARTH AND SPACE SCIENCE 5.12(2018):863-874.

入库方式: OAI收割

来源:国家空间科学中心

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