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Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/21602Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Lai, CS | - |
| dc.contributor.author | Mo, Z | - |
| dc.contributor.author | Wang, T | - |
| dc.contributor.author | Yuan, H | - |
| dc.contributor.author | Ng, WWY | - |
| dc.contributor.author | Lai, LL | - |
| dc.date.accessioned | 2020-09-26T17:29:34Z | - |
| dc.date.available | 2020-08-24 | - |
| dc.date.available | 2020-09-26T17:29:34Z | - |
| dc.date.issued | 2020-08-24 | - |
| dc.identifier.citation | Lai, Chun Sing; Mo, Zhenyao; Wang, Ting; Yuan, Haoliang; Ng, Wing W.Y.; Lai, Loi Lei: 'Load forecasting based on deep neural network and historical data augmentation', IET Generation, Transmission & Distribution, 2020 | en_US |
| dc.identifier.issn | 1751-8687 | - |
| dc.identifier.issn | 1751-8695 | - |
| dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/21602 | - |
| dc.description | This paper is a preprint of a paper accepted by IET Generation, Transmission & Distribution and is subject to Institution of Engineering and Technology Copyright. When the final version is published, the copy of record will be available at the IET Digital Library | en_US |
| dc.description.sponsorship | National Natural Science Foundation of China; Guangzhou Science and Technology Plan Project; Brunel University London BRIEF Funding; Education Department of Guangdong Province: New and Integrated Energy System Theory and Technology Research Group | en_US |
| dc.language | en | - |
| dc.language.iso | en | en_US |
| dc.publisher | Institution of Engineering and Technology (IET) | en_US |
| dc.subject | Deep neural network | en_US |
| dc.subject | Data augmentation | en_US |
| dc.subject | Load forecasting | en_US |
| dc.subject | Regression | en_US |
| dc.title | Load forecasting based on deep neural network and historical data augmentation | en_US |
| dc.type | Article | en_US |
| dc.identifier.doi | http://dx.doi.org/10.1049/iet-gtd.2020.0842 | - |
| dc.relation.isPartOf | IET Generation, Transmission & Distribution | - |
| pubs.publication-status | Published | - |
| dc.identifier.eissn | 1751-8695 | - |
| Appears in Collections: | Dept of Electronic and Electrical Engineering Embargoed Research Papers | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | 1.51 MB | Adobe PDF | View/Open |
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