Fine-grained RNN with Transfer Learning for Energy Consumption Estimation on EVs
| dc.contributor.author | Hua, Yining | |
| dc.contributor.author | Sevegnani, Michele | |
| dc.contributor.author | Yi, Dewei | |
| dc.contributor.author | Birnie, Andrew | |
| dc.contributor.author | Mcaslan, Steve | |
| dc.contributor.institution | University of Aberdeen.Computing Science | en |
| dc.contributor.institution | University of Aberdeen.Machine Learning | en |
| dc.date.accessioned | 2024-01-11T00:14:30Z | |
| dc.date.available | 2024-01-11T00:14:30Z | |
| dc.date.embargoedUntil | 2024-01-11 | |
| dc.date.issued | 2022-11 | |
| dc.description | This work is supported by the Engineering and Physical Sciences Research Council, under PETRAS SRF grant MAGIC (EP/S035362/1) and the University of Glasgow Impact Acceleration Account. | en |
| dc.description.status | Peer reviewed | en |
| dc.format.extent | 9 | |
| dc.format.extent | 4881964 | |
| dc.identifier | 211550050 | |
| dc.identifier | f134e41e-0d36-4e21-bdea-e1a2ecd533ba | |
| dc.identifier | 85123371675 | |
| dc.identifier | 85123371675 | |
| dc.identifier | 000856145200082 | |
| dc.identifier.citation | Hua, Y, Sevegnani, M, Yi, D, Birnie, A & Mcaslan, S 2022, 'Fine-grained RNN with Transfer Learning for Energy Consumption Estimation on EVs', IEEE Transactions on Industrial Informatics, vol. 18, no. 11, pp. 8182-8190. https://doi.org/10.1109/TII.2022.3143155 | en |
| dc.identifier.doi | 10.1109/TII.2022.3143155 | |
| dc.identifier.iss | 11 | en |
| dc.identifier.issn | 1551-3203 | |
| dc.identifier.other | ORCID: /0000-0003-1702-9136/work/108709913 | |
| dc.identifier.other | ORCID: /0000-0002-3377-6943/work/107568391 | |
| dc.identifier.uri | https://hdl.handle.net/2164/22523 | |
| dc.identifier.url | http://www.scopus.com/inward/record.url?scp=85123371675&partnerID=8YFLogxK | en |
| dc.identifier.vol | 18 | en |
| dc.language.iso | eng | |
| dc.relation.ispartof | IEEE Transactions on Industrial Informatics | en |
| dc.subject | SDG 7 - Affordable and Clean Energy | en |
| dc.subject | SDG 13 - Climate Action | en |
| dc.subject | electric vehicle | en |
| dc.subject | energy consumption estimation | en |
| dc.subject | trajectory segmentation | en |
| dc.subject | transfer learning | en |
| dc.subject | recurrent neural network | en |
| dc.subject | QA75 Electronic computers. Computer science | en |
| dc.subject | Control and Systems Engineering | en |
| dc.subject | Information Systems | en |
| dc.subject | Computer Science Applications | en |
| dc.subject | Electrical and Electronic Engineering | en |
| dc.subject | Engineering and Physical Sciences Research Council (EPSRC) | en |
| dc.subject | EP/S035362/1 | en |
| dc.subject.lcc | QA75 | en |
| dc.title | Fine-grained RNN with Transfer Learning for Energy Consumption Estimation on EVs | en |
| dc.type | Journal article | en |
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