Electric Vehicle Load Forecasting in Mountainous Cities Considering Traffic Behavior-Reference-Cited by-同舟云学术

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Electric Vehicle Load Forecasting in Mountainous Cities Considering Traffic Behavior

Published:2023-11-17 Issue: Volume: Page:3537-3542
ISSN:
Container-title:2023 China Automation Congress (CAC)
language:
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Author:

Long Hongyu¹,Yin Xiao²,Liu Chao³,Xu Yuansen³,Tian Tian³,Ye Fan³

Affiliation:

1. School of Automation/School of Industrial Internet, Chongqing University of Posts and Telecommunications,Key Laboratory of Big Data Intelligent Computing,Chongqing,China

2. School of Automation/School of Industrial Internet, Chongqing University of Posts and Telecommunications,Chongqing,China

3. Institute of State Grid Chongqing Electric Power Company,Economic and Technical Research,Chongqing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10450150/10449968/10451443.pdf?arnumber=10451443

Reference11 articles.

1. Optimal scheduling strategy for orderly charging and discharging of electric vehicles based on spatio-temporal characteristics

2. Daily electric vehicle charging load profiles considering demographics of vehicle users

3. Neural Network-based Load Forecasting Model for Efficient Charging of Electric Vehicles

4. Orderly charging strategy of battery electric vehicle driven by real-world driving data

5. Electricity load forecasting and feature extraction in smart grid using neural networks

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