Stochastic Programming Applied to EV Charging Points for Energy and Reserve Service Markets-Reference-Cited by-同舟云学术

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Stochastic Programming Applied to EV Charging Points for Energy and Reserve Service Markets

Published:2016-01 Issue:1 Volume:31 Page:198-205
ISSN:0885-8950
Container-title:IEEE Transactions on Power Systems
language:
Short-container-title:IEEE Trans. Power Syst.

Author:

Sanchez-Martin Pedro,Lumbreras Sara,Alberdi-Alen Antonio

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Link

http://xplorestaging.ieee.org/ielx7/59/7361773/7058449.pdf?arnumber=7058449

Cited by 47 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. Robust Online EV Charging Scheduling with Statistical Feasibility;2023 62nd IEEE Conference on Decision and Control (CDC);2023-12-13

2. A Preliminary Study of Temporal Variables Reduction to Reduce Computational Time of V2G Scheduling in Stochastic Programming Approach;2023 IEEE PES Innovative Smart Grid Technologies - Asia (ISGT Asia);2023-11-21

3. Aggregated Representation of Electric Vehicles Population on Charging Points for Demand Response Scheduling;IEEE Transactions on Intelligent Transportation Systems;2023-10

4. Impact of Minimum Energy Requirement on Electric Vehicle Charging Costs on Spot Markets;2023 IEEE Belgrade PowerTech;2023-06-25

5. Frequency Regulation Reserves Provision in EV Smart-Charging;2023 IEEE Transportation Electrification Conference & Expo (ITEC);2023-06-21

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