Predicting electric vehicle charging demand using a heterogeneous spatio-temporal graph convolutional network
Author:
Publisher
Elsevier BV
Subject
Management Science and Operations Research,Transportation,Automotive Engineering,Civil and Structural Engineering
Reference81 articles.
1. A deep learning framework using CNN and stacked Bi-GRU for COVID-19 predictions in India;Ahuja;SIViP,2022
2. Amara-Ouali, Y., Goude, Y., Hamrouche, B., & Bishara, M., (2022). A benchmark of electric vehicle load and occupancy models for day-ahead forecasting on open charging session data, in: Proceedings of the Thirteenth ACM International Conference on Future Energy Systems, 193-207. https://doi.org/10.1145/3538637.3538850.
3. Planning of electric vehicle fast-charging station based on POI interest point division, functional area, and multiple temporal and spatial characteristics;Bian;Energy Rep.,2022
4. A graph CNN-LSTM neural network for short and long-term traffic forecasting based on trajectory data;Bogaerts;Trans. Res. Part C: Emerging Technologies,2020
5. A deep learning approach for prediction of electrical vehicle charging stations power demand in regulated electricity markets: the case of Morocco;Boulakhbar;Cleaner Energy Systems,2022
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Rolling Time Domain Charging Allocation of Electric Vehicles Under Time Varying Demand;IEEE Access;2024
2. Optimizing electric vehicle charging schedules and energy management in smart grids using an integrated GA-GRU-RL approach;Frontiers in Energy Research;2023-09-13
3. Charging the Unserved: Agent-Based Modelling of Charging Demand in Copenhagen with Information-Sharing Mechanisms;2023
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3