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Journal of Intelligent Transportation Systems
Technology, Planning, and Operations
Volume 26, 2022 - Issue 6
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Articles

Electric vehicle charging demand forecasting using deep learning model

Zhiyan Yia Department of Civil & Environmental Engineering, University of Utah, Salt Lake City, UT, USA
,
Xiaoyue Cathy Liua Department of Civil & Environmental Engineering, University of Utah, Salt Lake City, UT, USACorrespondence[email protected]
,
Ran Weib School of Public Policy, University of California, Riverside, CA, USA
,
Xi Chenc GEIRINA, San Jose, CA, USA
&
Jiangpeng Daic GEIRINA, San Jose, CA, USA
Pages 690-703 | Received 23 Oct 2020, Accepted 07 Aug 2021, Published online: 19 Aug 2021

Citations (10)

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Yang Song & Xianbiao Hu. (2023) Learning electric vehicle driver range anxiety with an initial state of charge-oriented gradient boosting approach. Journal of Intelligent Transportation Systems 27:2, pages 238-256.
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Articles from other publishers (9)

Irfan Ullah, Kai Liu, Safa Bhar Layeb, Alessandro Severino & Arshad Jamal. (2023) Optimal Deployment of Electric Vehicles’ Fast-Charging Stations. Journal of Advanced Transportation 2023, pages 1-14.
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Piero Macaluso. (2023) Estimating charging demand by modelling EV drivers' parking patterns and habits. European Transport/Trasporti Europei:90, pages 1-14.
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Alfredo Nespoli, Emanuele Ogliari & Sonia Leva. (2023) User Behavior Clustering Based Method for EV Charging Forecast. IEEE Access 11, pages 6273-6283.
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Morteza Nazari-Heris, Mehdi Abapour & Behnam Mohammadi-Ivatloo. (2022) An Updated Review and Outlook on Electric Vehicle Aggregators in Electric Energy Networks. Sustainability 14:23, pages 15747.
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Jiajia Yang, Thomas Wiedmann, Fengji Luo, Gangui Yan, Fushuan Wen & Gail Helen Broadbent. (2022) A Fully Decentralized Hierarchical Transactive Energy Framework for Charging EVs With Local DERs in Power Distribution Systems. IEEE Transactions on Transportation Electrification 8:3, pages 3041-3055.
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Prince Waqas Khan, Se-Joon Park, Sang-Joon Lee & Yung-Cheol Byun. (2022) Electric Kickboard Demand Prediction in Spatiotemporal Dimension Using Clustering-Aided Bagging Regressor. Journal of Advanced Transportation 2022, pages 1-15.
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Shuai Ling, Xiang Zhu, Qing Wang & Paul Schonfeld. (2022) Prediction of Charging Requirements for Electric Vehicles Based on Multiagent Intelligence. Journal of Advanced Transportation 2022, pages 1-16.
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Mohamad Reda A. Refaai, Jyothilal Nayak Bharothu, T. V. V. Pavan Kumar, Chodagam Srinivas, M. Sudhakar & Anirudh Bhowmick. (2022) Battery Energy Forecasting in Electric Vehicle Using Deep Residual Neural Network. International Journal of Photoenergy 2022, pages 1-8.
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Jiaan Zhang, Chenyu Liu & Leijiao Ge. (2022) Short-Term Load Forecasting Model of Electric Vehicle Charging Load Based on MCCNN-TCN. Energies 15:7, pages 2633.
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