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：
来源：
Int. Conf. Commun., Signal Process., Appl., ICCSPA | 1600年
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] Electric vehicle charging station demand prediction model deploying data slotting
    Sreekumar, A. V.
    Lekshmi, R. R.
    RESULTS IN ENGINEERING, 2024, 24
  • [42] Human Origin-Destination Flow Prediction Based on Large Scale Mobile Signal Data
    Huang, Qiuyang
    Yang, Yongjian
    Xu, Yuanbo
    Wang, En
    Zhu, Kangning
    Li, Wenzhong
    WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2021, 2021
  • [43] 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
  • [44] 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, 2022, 26 (06) : 690 - 703
  • [45] 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
  • [46] 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):
  • [47] 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
  • [48] 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)
  • [49] 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
  • [50] 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
12345