An Empirical Analysis of Electric Vehicle in Urban Transportation Market Using Deep-Learning Techniques-Reference-Cited by-同舟云学术

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An Empirical Analysis of Electric Vehicle in Urban Transportation Market Using Deep-Learning Techniques

Published:2023-08-09 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 3rd International Conference on Sustainable Energy and Future Electric Transportation (SEFET)
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Author:

Tripathy Nrusingha¹,Hota Sarbeswara²,Satapathy Pranati³,Nayak Subrat Kumar¹,Prusty Sashikanta¹

Affiliation:

1. Siksha ‘O’ Anusandhan, Deemed to be University,Department of Computer Science and Engineering,Bhubaneswar,Odisha,India

2. Siksha ‘O’ Anusandhan, Deemed to be University,Department of Computer Application,Bhubaneswar,Odisha,India

3. Utkal University,Department of IMCA,Bhubaneswar,Odisha,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10244770/10244772/10245669.pdf?arnumber=10245669

Reference20 articles.

1. Behind-the-Meter Residential Electric Vehicle Smart Charging Strategies: Danish Cases;halldis tveit;2022 International Conference on Renewable Energies and Smart Technologies (REST),2022

2. On the Coordination of the Charging Demand of Roadway Powered Electric Vehicles

3. Evaluation of Aggregated EV Flexibility With TSO-DSO Coordination

4. Integration of Distributed Generation System and Electric Vehicle Charger in V2G mode for Grid Voltage Sag Mitigation

5. High-Density Electric Vehicle Charging using Wide Bandgap Semiconductors

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