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基于 GRA-ISSA-SVR-EC 模型的风电功率组合预测方法.
- Source :
- Journal of Guangxi Normal University - Natural Science Edition; Jul2023, Vol. 41 Issue 4, p61-73, 13p
- Publication Year :
- 2023
-
Abstract
- <i>Copyright of Journal of Guangxi Normal University - Natural Science Edition is the property of Gai Kan Bian Wei Hui and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
- Subjects :
- STANDARD deviations
WIND power
WIND power plants
SEARCH algorithms
ROOT-mean-squares
Subjects
Details
- Language :
- Chinese
- ISSN :
- 10016600
- Volume :
- 41
- Issue :
- 4
- Database :
- Complementary Index
- Journal :
- Journal of Guangxi Normal University - Natural Science Edition
- Publication Type :
- Academic Journal
- Accession number :
- 171835591
- Full Text :
- https://doi.org/10.16088/j.issn.1001-6600.2022103001