Wind speed spatial estimation using geostatistical kriging
文献类型：期刊论文
| 作者 | Wang,Yu1,2 ; Wang,Deji3; Zhao,Jianghai2; Zhu,Changan1
|
| 刊名 | IOP Conference Series: Earth and Environmental Science
 |
| 出版日期 | 2020-12-01 |
| 卷号 | 619 |
| ISSN号 | 1755-1307 |
| DOI | 10.1088/1755-1315/619/1/012049 |
| 英文摘要 | Abstract Accurate wind speed prediction plays an important role in the planning and development of wind power plant. Wind speed prediction can reduce the impact of wind power grid connection and improve the control of wind power systems. In this study, wind speed is considered as a geographical variable. We firstly used exploratory methods to examine the spatio-temporal dependence on wind field. The variogram was taken into account in analysing the spatial structure in the rectangular grid. Then the exponential model was adopted to fit the anisotropic feature of variogram. The de-trended data have been computed by using a geostatistical kriging estimator. The results were compared with the leave-one-out cross-validation (LOOCV) method. The accuracy of the proposed method was verified to obtain the best estimated results. |
| 语种 | 英语 |
| WOS记录号 | IOP:EES_619_1_012049 |
| 出版者 | IOP Publishing |
| 源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/127693]  |
| 专题 | 中国科学院合肥物质科学研究院 |
| 作者单位 | 1.School of Engineering Science, University of Science and Technology of China, Hefei 230026, China 2.Hefei Institutes of Physical Science, Chinese Academy of Sciences, Changzhou 213164, China 3.Staff development institute of CNTC, Zhengzhou 450000, China |
| 推荐引用方式 GB/T 7714 | Wang,Yu,Wang,Deji,Zhao,Jianghai,et al. Wind speed spatial estimation using geostatistical kriging[J]. IOP Conference Series: Earth and Environmental Science,2020,619. |
| APA | Wang,Yu,Wang,Deji,Zhao,Jianghai,&Zhu,Changan.(2020).Wind speed spatial estimation using geostatistical kriging.IOP Conference Series: Earth and Environmental Science,619. |
| MLA | Wang,Yu,et al."Wind speed spatial estimation using geostatistical kriging".IOP Conference Series: Earth and Environmental Science 619(2020). |
入库方式： OAI收割
来源：合肥物质科学研究院
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