Optimizing electric vehicle charging in distribution networks: A dynamic pricing approach using internet of things and Bi-directional LSTM model-Reference-Cited by-同舟云学术

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Optimizing electric vehicle charging in distribution networks: A dynamic pricing approach using internet of things and Bi-directional LSTM model

Published:2024-05 Issue: Volume:294 Page:130815
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

P Balakumar^ORCID,Ramu Senthil Kumar^ORCID,T Vinopraba

Publisher

Elsevier BV

Reference37 articles.

1. Optimal energy management and feasibility analysis of hybrid renewable energy sources with BESS and impact of electric vehicle load with demand response program;Singh;Energy,2023

2. Smart hybrid microgrid for effective distributed renewable energy sharing of PV prosumers;Balakumar;J Energy Storage,2022

3. An improved decentralized scheme for incentive-based demand response from residential customers;Dewangan;Energy,2023

4. Impact of customer portrait information superiority on competitive pricing of EV fast-charging stations;Sheng;Appl Energy,2023

5. Electric vehicles in Spain: an overview of charging systems;Martínez-Lao;Renew Sustain Energy Rev,2017

Cited by 1 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. Environmental Time-of-Use scheme: Strategic leveraging of financial and environmental incentives for greener electric vehicle charging;Energy;2024-09

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