Machine Learning-Based Electric Vehicle Charging Demand Prediction Using Origin-Destination Data: A UAE Case Study

被引:0
|
作者
American University of Sharjah, Department of Electrical Engineering, P.O. Box 26666, Sharjah, United Arab Emirates [1 ]
机构
关键词
Number:; FRG22-C-E18; SCRI; 18-CEN-10; Acronym:; AUS; Sponsor: American University of Sharjah;
D O I
5th International Conference on Communications, Signal Processing, and their Applications, ICCSPA 2022
中图分类号
学科分类号
摘要
Machine learning
引用
收藏
相关论文
共 50 条
  • [41] Origin-destination Flow Prediction with Vehicle Trajectory Data and Semi-supervised Recurrent Neural Network
    Huang, Tao
    Ma, Yintai
    Qin, Zhiwei
    Zheng, Jianfeng
    Liu, Henry X.
    Zhu, Hongtu
    Ye, Jieping
    2019 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2019, : 1450 - 1459
  • [42] Electric vehicle charging demand forecasting using deep learning model
    Yi, Zhiyan
    Liu, Xiaoyue Cathy
    Wei, Ran
    Chen, Xi
    Dai, Jiangpeng
    Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, 2022, 26 (06): : 690 - 703
  • [43] Electric Charging Demand Location ModelA User- and Destination-Based Locating Approach for Electric Vehicle Charging Stations
    Pagany, Raphaela
    Marquardt, Anna
    Zink, Roland
    SUSTAINABILITY, 2019, 11 (08):
  • [44] Predicting hourly origin-destination demand in bike sharing systems using hurdle models: Lisbon case study
    Lucas, Vera
    Andrade, Antonio R.
    CASE STUDIES ON TRANSPORT POLICY, 2021, 9 (04) : 1836 - 1848
  • [45] Electric Vehicle Charging Facility Planning Based on Flow Demand-A Case Study
    Wang, Cheng
    Gao, Zhou
    Yang, Peng
    Wang, Zhenpo
    Li, Zhiheng
    SUSTAINABILITY, 2021, 13 (09)
  • [46] Statistical inference of probabilistic origin-destination demand using day-to-day traffic data
    Ma, Wei
    Qian, Zhen
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2018, 88 : 227 - 256
  • [47] Estimating dynamic origin-destination demand: A hybrid framework using license plate recognition data
    Mo, Baichuan
    Li, Ruimin
    Dai, Jingchen
    COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 2020, 35 (07) : 734 - 752
  • [48] Estimation of Origin-Destination using Mobile Phone Call Data: A Case Study of Greater Dhaka, Bangladesh
    Bhandari, Dinesh Mani
    Witayangkurn, Apichon
    Shibasaki, Ryosuke
    Rahman, Md Mafizur
    2018 THIRTEENTH INTERNATIONAL CONFERENCE ON KNOWLEDGE, INFORMATION AND CREATIVITY SUPPORT SYSTEMS (KICSS), 2018, : 131 - 137
  • [49] Data-driven method for electric vehicle charging demand analysis: Case study in Virginia
    Liu, Zhaocai
    Borlaug, Brennan
    Meintz, Andrew
    Neuman, Christopher
    Wood, Eric
    Bennett, Jesse
    TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2023, 125
  • [50] National-Level Multimodal Origin-Destination Estimation Based on Passively Collected Location Data and Machine Learning Methods
    Pan, Yixuan
    Darzi, Aref
    Yang, Mofeng
    Sun, Qianqian
    Kabiri, Aliakbar
    Zhao, Guangchen
    Xiong, Chenfeng
    Zhang, Lei
    TRANSPORTATION RESEARCH RECORD, 2024, 2678 (05) : 525 - 541