A novel deep learning-based evolutionary model with potential attention and memory decay-enhancement strategy for short-term wind power point-interval forecasting.
Saved in:
| Title: | A novel deep learning-based evolutionary model with potential attention and memory decay-enhancement strategy for short-term wind power point-interval forecasting. |
|---|---|
| Authors: | Liu, Zhi-Feng1 (AUTHOR) liuzhifeng@tust.edu.cn, Liu, You-Yuan1 (AUTHOR) liuyouyuan@mail.tust.edu.cn, Chen, Xiao-Rui1 (AUTHOR) 21021127@mail.tust.edu.cn, Zhang, Shu-Rui1 (AUTHOR) zsr030923@mail.tust.edu.cn, Luo, Xing-Fu1 (AUTHOR) fu406699@mail.tust.edu.cn, Li, Ling-Ling1,2,3 (AUTHOR) lilinglinghebut@126.com, Yang, Yi-Zhou1 (AUTHOR) 22028121@mail.tust.edu.cn, You, Guo-Dong1 (AUTHOR) |
| Source: | Applied Energy. Apr2024, Vol. 360, pN.PAG-N.PAG. 1p. |
| Database: | Environment Complete |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: eih DbLabel: Environment Complete An: 175873974 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: A novel deep learning-based evolutionary model with potential attention and memory decay-enhancement strategy for short-term wind power point-interval forecasting. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Liu%2C+Zhi-Feng%22">Liu, Zhi-Feng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> liuzhifeng@tust.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Liu%2C+You-Yuan%22">Liu, You-Yuan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> liuyouyuan@mail.tust.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Chen%2C+Xiao-Rui%22">Chen, Xiao-Rui</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> 21021127@mail.tust.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Shu-Rui%22">Zhang, Shu-Rui</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> zsr030923@mail.tust.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Luo%2C+Xing-Fu%22">Luo, Xing-Fu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> fu406699@mail.tust.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Li%2C+Ling-Ling%22">Li, Ling-Ling</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<i> lilinglinghebut@126.com</i><br /><searchLink fieldCode="AR" term="%22Yang%2C+Yi-Zhou%22">Yang, Yi-Zhou</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> 22028121@mail.tust.edu.cn</i><br /><searchLink fieldCode="AR" term="%22You%2C+Guo-Dong%22">You, Guo-Dong</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Applied+Energy%22">Applied Energy</searchLink>. Apr2024, Vol. 360, pN.PAG-N.PAG. 1p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=175873974 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.apenergy.2024.122785 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: N.PAG Titles: – TitleFull: A novel deep learning-based evolutionary model with potential attention and memory decay-enhancement strategy for short-term wind power point-interval forecasting. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Liu, Zhi-Feng – PersonEntity: Name: NameFull: Liu, You-Yuan – PersonEntity: Name: NameFull: Chen, Xiao-Rui – PersonEntity: Name: NameFull: Zhang, Shu-Rui – PersonEntity: Name: NameFull: Luo, Xing-Fu – PersonEntity: Name: NameFull: Li, Ling-Ling – PersonEntity: Name: NameFull: Yang, Yi-Zhou – PersonEntity: Name: NameFull: You, Guo-Dong IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 04 Text: Apr2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 03062619 Numbering: – Type: volume Value: 360 Titles: – TitleFull: Applied Energy Type: main |
| ResultId | 1 |
