Hierarchical Utility Data Forecasting Using Section-Wise Short-Term Demand Prediction with SFFO-Tuned Residual Networks.
Saved in:
| Title: | Hierarchical Utility Data Forecasting Using Section-Wise Short-Term Demand Prediction with SFFO-Tuned Residual Networks. |
|---|---|
| Authors: | Khedikar, Kanchan Ashish1, kanchankhedikar123@gmail.com, Pareek, Piyush Kumar2, piyush.kumar@nmit.ac.in |
| Source: | Engineering, Technology & Applied Science Research; Jun2026, Vol. 16 Issue 3, p36956-36965, 10p |
| Database: | Applied Science & Technology Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
|---|---|
| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 195332593 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Hierarchical Utility Data Forecasting Using Section-Wise Short-Term Demand Prediction with SFFO-Tuned Residual Networks. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Khedikar%2C+Kanchan+Ashish%22">Khedikar, Kanchan Ashish</searchLink><relatesTo>1</relatesTo>, <i>kanchankhedikar123@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Pareek%2C+Piyush+Kumar%22">Pareek, Piyush Kumar</searchLink><relatesTo>2</relatesTo>, <i>piyush.kumar@nmit.ac.in</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Engineering%2C+Technology+%26+Applied+Science+Research%22">Engineering, Technology & Applied Science Research</searchLink>; Jun2026, Vol. 16 Issue 3, p36956-36965, 10p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=195332593 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.48084/etasr.18528 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 36956 Titles: – TitleFull: Hierarchical Utility Data Forecasting Using Section-Wise Short-Term Demand Prediction with SFFO-Tuned Residual Networks. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Khedikar, Kanchan Ashish – PersonEntity: Name: NameFull: Pareek, Piyush Kumar IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 22414487 Numbering: – Type: volume Value: 16 – Type: issue Value: 3 Titles: – TitleFull: Engineering, Technology & Applied Science Research Type: main |
| ResultId | 1 |