Enhancing Microgrid Operation Through Electric Vehicle Integration: A Survey

J Sora, I Serban, D Petreus - IEEE Access, 2024 - ieeexplore.ieee.org
The integration of renewable energy sources (RES) and electric vehicles (EVs) into
microgrids (MGs) has significant potential for enhancing energy resilience, addressing …

Deep Q-Learning-Based Smart Scheduling of EVs for Demand Response in Smart Grids

VR Chifu, T Cioara, CB Pop, HG Rusu, I Anghel - Applied Sciences, 2024 - mdpi.com
Economic and policy factors are driving the continuous increase in the adoption and usage
of electrical vehicles (EVs). However, despite being a cleaner alternative to combustion …

Quantifying the impact of electricity pricing on electric vehicle user behavior: a V2G perspective for smart grid development

MH Bahmani, M Esmaeili Shayan… - Energy Sources, Part …, 2024 - Taylor & Francis
This research introduces an innovative analytical framework for studying the behavior of
electric vehicles (EVs) in power grids. The approach primarily examines the dynamic State …

Analyzing the Performance of AI-Based Battery SoC Estimation: A Metrological Point of View

V Negri, A Mingotti, R Tinarelli, L Peretto… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
Battery State of Charge (SoC) estimation systems play a crucial role in modern energy
infrastructures challenges, including the integration of renewable energy, grid stability, and …

Modelling Charging Infrastructure in V2G Scenario

E Innocenti, L Berzi, A Kociu, M Delogu - 2024 - sae.org
Nowadays, electrification is largely acknowledged as a crucial strategy to mitigate climate
change, especially for the transportation sector through the transition from conventional …

Multi-Period Optimization of Energy Demand Control for Electric Vehicles in Unbalanced Electrical Power Systems Considering the Center Load Distance of Charging …

N Chitgreeyan, P Pilalum, S Marsong… - Engineering …, 2024 - ph02.tci-thaijo.org
The rise of plug-in electric vehicles (EVs) impacts the energy demand of power systems.
This study employed a multi-period power flow analysis on the IEEE 123 node test system …

A Comparative analysis of Adaptive Controllers for Bi-directional converter used in V2G/G2V System

TNVK Sai, M Charan, YE Reddy… - 2023 IEEE North …, 2023 - ieeexplore.ieee.org
The recent increase in the efforts to reduce fossil fuel consumption and limit the carbon
footprint in the environment has resulted in a significant increase in electric vehicles …

Enhancing Electric Vehicle Range Prediction through Deep Learning: An Autoencoder and Neural Network Approach

G Airlangga - Indonesian Journal of Artificial Intelligence and Data … - ejournal.uin-suska.ac.id
The burgeoning adoption of electric vehicles (EVs) signifies a pivotal shift towards
sustainable transportation, necessitated by the global imperative to mitigate climate change …