Agent-Based Aggregated Behavior Modeling for Electric Vehicle Charging Load-Reference-Cited by-同舟云学术

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Agent-Based Aggregated Behavior Modeling for Electric Vehicle Charging Load

Published:2019-02 Issue:2 Volume:15 Page:856-868
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Chaudhari Kalpesh^ORCID,Kandasamy Nandha Kumar^ORCID,Krishnan Ashok^ORCID,Ukil Abhisek^ORCID,Gooi H. B.^ORCID

Funder

Energy Innovation Program Office

National Research Foundation and Singapore Energy Market Authority

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/ielx7/9424/8633991/08331896.pdf?arnumber=8331896

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2. Electric vehicle eco-driving strategy at signalized intersections based on optimal energy consumption;Journal of Environmental Management;2024-09

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4. A systematic review and meta-analysis of machine learning, deep learning, and ensemble learning approaches in predicting EV charging behavior;Engineering Applications of Artificial Intelligence;2024-09

5. Data-Driven Analysis of a NEVI-Compliant EV Charging Station in the Northern Region of the U.S.;IEEE Transactions on Industry Applications;2024-07

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