Forecasting the Behavior of EV Charging Using Machine Learning-Reference-Cited by-同舟云学术

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Forecasting the Behavior of EV Charging Using Machine Learning

Published:2023-03-17 Issue: Volume: Page:
ISSN:
Container-title:2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS)
language:
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Author:

Salam Shaik¹,Veni Godula Krishna¹,Kamale Chetana¹,Deepika Appaneni Lakshmi¹,Bruhathi Andra¹

Affiliation:

1. Sree Vidyanikethan Engineering College,Computer Science and Systems Engineering,Tirupati,Andhra Pradesh,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10112659/10112660/10112731.pdf?arnumber=10112731

Reference12 articles.

1. An Optimized EV Charging Model Considering TOU Price and SOC Curve

2. Event-based electric vehicle scheduling considering random user behaviors

3. Cognitive function and young drivers: The relationship between driving, attitudes, personality and cognition

4. Data-Driven Charging Demand Prediction at Public Charging Stations Using Supervised Machine Learning Regression Methods

5. Investigate of Creep Response in Functionally Graded Material Rotating Disc with variable Thickness

Cited by 2 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. Predicting EV Charging Duration Using Machine Learning and Charging Transactions at Three Sites;2024 IEEE International Conference on Industrial Technology (ICIT);2024-03-25

2. Optimal Charging Station Placement and Scheduling for Electric Vehicles in Smart Cities;Sustainability;2023-11-16

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