KMS Of Academy of mathematics and systems sciences, CAS
| Wind speed interval prediction model based on variational mode decomposition and multi-objective optimization | |
| Wang, Jianzhou1; Cheng, Zishu2,3 | |
| 2021-12-01 | |
| Source Publication | APPLIED SOFT COMPUTING
 |
| ISSN | 1568-4946 |
| Volume | 113Pages:15 |
| Abstract | As a potential new energy power generation technology, wind power is gradually developing into the world's mainstream energy. In the research on wind power generation, wind speed prediction is an important part, which has been widely studied. The accurate wind speed prediction is a key part of wind power management to help wind power grid-tied. Currently, most research has focused on point prediction, which in fact does not facilitate the quantitative characterization of the endogenous uncertainty involved. However, interval prediction can avoid this deficiency and make better operation and scheduling of the wind power models. In this study, a novel interval prediction model based on wind speed distribution and multi-objective optimization is designed, which includes data noise reduction module, prediction module, and combination module based on a multi-objective salp swarm algorithm, to provide accurate forecast for power model operation and grid dispatching. The 10-minute wind speed data from three data sets in China were selected for prediction to evaluate the effectiveness of the proposed combined model. The results show that the model is not only better than the considered benchmark model, but also has good potential practical application value in wind power models. (C) 2021 Elsevier B.V. All rights reserved. |
| Keyword | Interval prediction Multi-objective optimization algorithm Wind speed Combined models |
| DOI | 10.1016/j.asoc.2021.107848 |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | National Natural Science Foundation of China[71671029] |
| WOS Research Area | Computer Science |
| WOS Subject | Computer Science, Artificial Intelligence ; Computer Science, Interdisciplinary Applications |
| WOS ID | WOS:000760655500004 |
| Publisher | ELSEVIER |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.amss.ac.cn/handle/2S8OKBNM/60110 |
| Collection | 中国科学院数学与系统科学研究院 |
| Corresponding Author | Cheng, Zishu |
| Affiliation | 1.Macau Univ Sci & Technol, Inst Syst Engn, Macau 999078, Peoples R China 2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China 3.Univ Chinese Acad Sci, Sch Econ & Management, Beijing 100190, Peoples R China |
| Recommended Citation GB/T 7714 | Wang, Jianzhou,Cheng, Zishu. Wind speed interval prediction model based on variational mode decomposition and multi-objective optimization[J]. APPLIED SOFT COMPUTING,2021,113:15. |
| APA | Wang, Jianzhou,&Cheng, Zishu.(2021).Wind speed interval prediction model based on variational mode decomposition and multi-objective optimization.APPLIED SOFT COMPUTING,113,15. |
| MLA | Wang, Jianzhou,et al."Wind speed interval prediction model based on variational mode decomposition and multi-objective optimization".APPLIED SOFT COMPUTING 113(2021):15. |
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