Energy management system optimization based on an LSTM deep learning model using vehicle speed prediction-Reference-Cited by-同舟云学术

Energy management system optimization based on an LSTM deep learning model using vehicle speed prediction

Published:2023-03 Issue: Volume:11 Page:100160
ISSN:2666-691X
Container-title:Transportation Engineering
language:en
Short-container-title:Transportation Engineering

Author:

Pulvirenti Luca,Rolando Luciano,Millo Federico

Funder

Politecnico di Torino

Regione Piemonte

Publisher

Elsevier BV

Subject

Mechanical Engineering,Safety, Risk, Reliability and Quality,Aerospace Engineering,Automotive Engineering,Civil and Structural Engineering

Reference49 articles.

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4. ICCT, “Fit for 55: a review and evaluation of the European Commission proposal for amending the CO2 targets for new cars and vans,” accessed October 2021, https://theicct.org/publications/fit-for-55-review-eu-sept21.

5. ACEA, “Electric Vehicles: tax Benefits and Purchase Incentives,” accessed October 2021, https://www.acea.auto/files/Electric_vehicles-Tax_benefits_purchase_incentives_European_Union_2020.pdf.

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