Fine-grained RNN with Transfer Learning for Energy Consumption Estimation on EVs

Hua, YiningSevegnani, MicheleYi, DeweiBirnie, AndrewMcaslan, Steve2024-01-112024-01-112022-11Hua, 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.2022.31431551551-3203ORCID: /0000-0003-1702-9136/work/108709913ORCID: /0000-0002-3377-6943/work/107568391https://hdl.handle.net/2164/22523This 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.94881964engSDG 7 - Affordable and Clean EnergySDG 13 - Climate Actionelectric vehicleenergy consumption estimationtrajectory segmentationtransfer learningrecurrent neural networkQA75 Electronic computers. Computer scienceControl and Systems EngineeringInformation SystemsComputer Science ApplicationsElectrical and Electronic EngineeringEngineering and Physical Sciences Research Council (EPSRC)EP/S035362/1QA75Fine-grained RNN with Transfer Learning for Energy Consumption Estimation on EVsJournal article10.1109/TII.2022.3143155http://www.scopus.com/inward/record.url?scp=85123371675&partnerID=8YFLogxK1811