Evaluation of support vector machine for estimation of solar radiation from measured meteorological variables
文献类型：期刊论文
| 作者 | Chen, Ji-Long1,2 ; Li, Guo-Sheng2
|
| 刊名 | THEORETICAL AND APPLIED CLIMATOLOGY
 |
| 出版日期 | 2014-02-01 |
| 卷号 | 115期号:3-4页码:627-638 |
| ISSN号 | 0177-798X |
| DOI | 10.1007/s00704-013-0924-y |
| 通讯作者 | Li, GS (reprint author), Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China. |
| 英文摘要 | Solar radiation is an essential and important variable to many models. However, it is measured at a very limited number of meteorological stations in the world. Developing method for accurate estimation of solar radiation from measured meteorological variables has been a focus and challenging task. This paper presents the method of solar radiation estimation using support vector machine (SVM). The main objective of this work is to examine the feasibility of SVM and explore its potential in solar radiation estimation. A total of 20 SVM models using different combinations of sunshine ratio, maximum and minimum air temperature, relative humidity, and atmospheric water vapor pressure as input attributes are explored using meteorological data at 15 stations in China. These models significantly outperform the empirical models with an average 14 % higher accuracy. When sunshine duration data are available, model SVM2 using sunshine ratio and air temperature range is proposed. It significantly outperforms the empirical models with an average 26 % higher accuracy. When sunshine duration data are not available, model SVM19 using maximum temperature, minimum temperature and atmospheric water vapor pressure is proposed. It significantly outperforms the temperature-based empirical models with an average of 18 % higher accuracy. The remarkable improvement indicates that the SVM method would be a promising alternative over traditional approaches for estimation of solar radiation at any locations. |
| 资助项目 | National Key Technology Research and Development Program[2012BAC21B01] ; Geological Survey program of China Geological Survey[GZH201200503] ; Special foundation for scientific research on public Interest[1212010611402] ; Special foundation for scientific research on public Interest[201111023] |
| WOS研究方向 | Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| 出版者 | SPRINGER WIEN |
| WOS记录号 | WOS:000330829300022 |
| 源URL | [http://119.78.100.138/handle/2HOD01W0/827]  |
| 专题 | 生态过程与重建研究中心 |
| 通讯作者 | Li, Guo-Sheng |
| 作者单位 | 1.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing 401122, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Chen, Ji-Long,Li, Guo-Sheng. Evaluation of support vector machine for estimation of solar radiation from measured meteorological variables[J]. THEORETICAL AND APPLIED CLIMATOLOGY,2014,115(3-4):627-638. |
| APA | Chen, Ji-Long,&Li, Guo-Sheng.(2014).Evaluation of support vector machine for estimation of solar radiation from measured meteorological variables.THEORETICAL AND APPLIED CLIMATOLOGY,115(3-4),627-638. |
| MLA | Chen, Ji-Long,et al."Evaluation of support vector machine for estimation of solar radiation from measured meteorological variables".THEORETICAL AND APPLIED CLIMATOLOGY 115.3-4(2014):627-638. |
入库方式： OAI收割
来源：重庆绿色智能技术研究院
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。