Internet of Vehicles (IoV) Based Framework for electricity Demand Forecasting in V2G-Reference-Cited by-同舟云学术

Internet of Vehicles (IoV) Based Framework for electricity Demand Forecasting in V2G

Published:2024-06 Issue: Volume:297 Page:131199
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Kumar Navin^ORCID,Sood Sandeep Kumar,Saini Munish

Publisher

Elsevier BV

Reference43 articles.

1. Fuzzy-based distributed protocol for vehicle-to-vehicle communication;Hawbani;IEEE Trans Fuzzy Syst,2019

2. A Q-learning based electric vehicle scheduling technique in a distribution system for power loss curtailment;Velamuri;Sustain Comput: Inform Syst,2022

3. Smart transmission grid applications and their supporting infrastructure;Bose;IEEE Trans Smart Grid,2010

4. Vehicle-to-grid systems for sustainable development: An integrated energy analysis;Turton;Technol Forecast Soc Change,2008

5. Sensitivity analysis of smart grids reliability due to indirect cyber-power interdependencies under various DG technologies, DG penetrations, and operation times;Hashemi-Dezaki;Energy Convers Manage,2016

Cited by 3 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. Review of vehicle to grid integration to support power grid security;Energy Reports;2024-12

2. An Optimization Model for Orderly Charging and Discharging of Electric Vehicles Based on the Grey Wolf Optimization Algorithm;2024 6th International Conference on Energy Systems and Electrical Power (ICESEP);2024-06-21

3. An Intelligent Connected Vehicle Material Distribution Route Model Based on k-Center Spatial Cellular Clustering and an Improved Cockroach Optimization Algorithm;Symmetry;2024-06-15