10.46243/jst.2023.v8.i05.pp49-56 registered
Bi-Modal Oil Temperature Forecasting in Electrical Transformers using a Hybrid of Transformer, CNN and Bi-LSTM
Resolves to https://www.jst.org.in/index.php/pub/article/view/788
Held by Longman Publishers (India) · prefix 10.46243 live · DOI address https://doi.org/10.46243/jst.2023.v8.i05.pp49-56
Registered 29 Sep 2026 via crossref · record version 2 · last change 29 Sep 2026, 11:59 PM · record sha256 54953a91cd3ae211…
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JournalArticle — an article in a journal · Digital · Visual · en
Bi-Modal Oil Temperature Forecasting in Electrical Transformers using a Hybrid of Transformer, CNN and Bi-LSTM (PrincipalTitle)
Published 2023-10-05
Part of Journal of Science & Technology · ISSN 2456-5660 · volume 8 · issue 5 · pages 49–56
Agents
- Varun Gupta Varun Gupta (author)
- Longman Publishers (publisher)
Identifiers DOI 10.46243/jst.2023.v8.i05.pp49-56
Abstract
Power consumption prediction is a tough task because of its fluctuating nature. If the expected demand is excessively high in comparison to the existing demand, the transformer may damage. Predicting the temperature of transformer oil is an efficient approach to verify the transformer’s safety status. As a result, in this study, we offer a bimodal architecture for predicting oil temperature given a sequence of prior temperatures. Our model was tested using the Ettm1, Ettm2, and Etth1 datasets and achieved an RMSE of 0.41375, MAE of 0.3031 and MAPE of 8.292% on Ettm1 test dataset, an RMSE of 0.4105, MAE 0.3090 and MAPE of 6.678% on Ettm2 test dataset and an RMSE of 0.6762, MAE 0.4690 and MAPE of 11.23% on Etth1 test dataset
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Each element by the standard's name (Annex B: reference elements, then administrative) and the Handbook's (in grey), read off the record above.
| Element | Value | In the record |
|---|---|---|
| DOI Name DOI name | 10.46243/jst.2023.v8.i05.pp49-56 | doi |
| Referent Type referentType | Creation | referent |
| Referent Sub-Type referentSubType | JournalArticle — an article in a journal | type |
| Referent Name(s) referentName(s) | Bi-Modal Oil Temperature Forecasting in Electrical Transformers using a Hybrid of Transformer, CNN and Bi-LSTM (PrincipalTitle, en) | titles |
| Basic Metadata basicMetadata | author: Varun Gupta Varun Gupta publisher: Longman Publishers published: 2023-10-05 part of: Journal of Science & Technology · ISSN 2456-5660 · vol. 8 · no. 5 · pp. 49–56 language: en form: Digital · Visual · Language | agents, dates, container, language, structural_type, modes, characters |
| Referent Identifier(s) alternateIdentifier(s) | none besides the DOI | identifiers, relations (IsSameAs) |
| Registration Authority registrationAuthorityCode | Crossref — issued by Crossref (member 25296); held here as a copy | record.source_agency (our code, ra_doi_name, for names issued here once appointed) |
| Created Date issueDate | 2024-02-16 | record.registered (when the DOI name was first registered) |
| relatedIdentifiers | none needed — the descriptive metadata is in this record | container, relations (only where the descriptive metadata lives at another identifier) |
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| # | When | What | By | Changes |
|---|---|---|---|---|
| 1 | 29 Sep 2026, 10:00 PM | register registered at Crossref; record read from api.crossref.org | Administrator (admin) | 101 fields set · sha256 031124e32c0f… |
| 2 | 29 Sep 2026, 11:59 PM | update record re-read from api.crossref.org | Administrator (admin) | container.titles.0.value: |
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