A Novel Markov-Based Temporal-SoC Analysis for Characterizing PEV Charging Demand-Reference-Cited by-同舟云学术

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A Novel Markov-Based Temporal-SoC Analysis for Characterizing PEV Charging Demand

Published:2018-01 Issue:1 Volume:14 Page:156-166
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Sun Siyang,Yang Qiang^ORCID,Yan Wenjun

Funder

Zhejiang Provincial Natural Science Foundationw

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9424/8246762/07961249.pdf?arnumber=7961249

Cited by 57 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

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2. Technical review of electric vehicle charging distribution models with considering driver behaviors impacts;Journal of Traffic and Transportation Engineering (English Edition);2024-08

3. Spatio-temporal Flexibility Evaluation of Electric Taxi Fleets Using Taxi Travel Data in Beijing;2023 IEEE 4th China International Youth Conference On Electrical Engineering (CIYCEE);2023-12-08

4. Deep learning framework for day-ahead optimal charging scheduling of electric vehicles in parking lot;Applied Energy;2023-11

5. Travel Motif-Based Learning Scheme for Electric Vehicle Charging Demand Forecasting;2023 IEEE Vehicle Power and Propulsion Conference (VPPC);2023-10-24

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