A Preference-aware Meta-optimization Framework for Personalized Vehicle Energy Consumption Estimation

Author:

Lai Siqi1ORCID,Zhang Weijia1ORCID,Liu Hao1ORCID

Affiliation:

1. The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China

Funder

Guangzhou Science and Technology Plan Guangzhou-HKUST(GZ) Joint Project

National Natural Science Foundation of China

Foshan HKUST Projects

Publisher

ACM

Reference39 articles.

1. Driving behaviour and trip condition effects on the energy consumption of an electric vehicle under real-world driving

2. semi-Traj2Graph identifying fine-Grained driving style with GPS trajectory data via multi-task learning;Chen Chao;IEEE Transactions on Big Data,2022

3. Xiaowei Chen , Zengxiang Lei , and Satish V. Ukkusuri . 2022a. Prediction of road-level energy consumption of battery electric vehicles . In Proceedings of the 25th IEEE ITSC International Conference on Intelligent Transportation Systems , October 8-12, 2022 . IEEE, 2550--2555. Xiaowei Chen, Zengxiang Lei, and Satish V. Ukkusuri. 2022a. Prediction of road-level energy consumption of battery electric vehicles. In Proceedings of the 25th IEEE ITSC International Conference on Intelligent Transportation Systems, October 8-12, 2022. IEEE, 2550--2555.

4. Data-driven estimation of energy consumption for electric bus under real-world driving conditions

5. Junyoung Chung , Çaglar Gülçehre , KyungHyun Cho , and Yoshua Bengio . 2014. Empirical evaluation of gated recurrent neural networks on sequence modeling. CoRR , Vol. abs/ 1412 .3555 ( 2014 ). showeprint[arXiv]1412.3555 Junyoung Chung, Çaglar Gülçehre, KyungHyun Cho, and Yoshua Bengio. 2014. Empirical evaluation of gated recurrent neural networks on sequence modeling. CoRR, Vol. abs/1412.3555 (2014). showeprint[arXiv]1412.3555

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