Research on Electric Vehicle Charging Load Forecasting Method Based on Improved LSTM Neural Network.
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| Title: | Research on Electric Vehicle Charging Load Forecasting Method Based on Improved LSTM Neural Network. |
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| Authors: | Wang, Chengmin1, wangchengmin@sjtu.edu.cn, Wang, Yangzi2, Song, Fulong1,2 |
| Source: | World Electric Vehicle Journal; May2025, Vol. 16 Issue 5, p265, 15p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 185543502 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Research on Electric Vehicle Charging Load Forecasting Method Based on Improved LSTM Neural Network. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Wang%2C+Chengmin%22">Wang, Chengmin</searchLink><relatesTo>1</relatesTo>, <i>wangchengmin@sjtu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Wang%2C+Yangzi%22">Wang, Yangzi</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Song%2C+Fulong%22">Song, Fulong</searchLink><relatesTo>1,2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22World+Electric+Vehicle+Journal%22">World Electric Vehicle Journal</searchLink>; May2025, Vol. 16 Issue 5, p265, 15p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=185543502 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/wevj16050265 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 265 Titles: – TitleFull: Research on Electric Vehicle Charging Load Forecasting Method Based on Improved LSTM Neural Network. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wang, Chengmin – PersonEntity: Name: NameFull: Wang, Yangzi – PersonEntity: Name: NameFull: Song, Fulong IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 20326653 Numbering: – Type: volume Value: 16 – Type: issue Value: 5 Titles: – TitleFull: World Electric Vehicle Journal Type: main |
| ResultId | 1 |