[HTML][HTML] Scientific mapping and research perspectives of the vehicle routing problem: An approach from sustainability strategies
Abstract The Vehicle Routing Problem (VRP) not only poses a fundamental challenge in
logistics and operations management but also plays a crucial role in mitigating …
logistics and operations management but also plays a crucial role in mitigating …
Techno-economic analysis of vehicle-to-grid technology: Efficient integration of electric vehicles into the grid in Portugal
The aim of this work was to create an original numerical model for conducting an economic
analysis of Vehicle-to-Grid (V2G) services. This model enables the computation of potential …
analysis of Vehicle-to-Grid (V2G) services. This model enables the computation of potential …
Online EVs Vehicle-to-Grid Scheduling Coordinated with Multi-Energy Microgrids: A Deep Reinforcement Learning-Based Approach
W Pan, X Yu, Z Guo, T Qian, Y Li - Energies, 2024 - mdpi.com
The integration of electric vehicles (EVs) into vehicle-to-grid (V2G) scheduling offers a
promising opportunity to enhance the profitability of multi-energy microgrid operators …
promising opportunity to enhance the profitability of multi-energy microgrid operators …
Integrated location and routing optimization for the application of electric vehicles in on-demand delivery
S Zhang, H Zheng, J Tian - Journal of Industrial and Management …, 2025 - aimsciences.org
Recently, electric vehicles have been utilized more often in city logistics for on-demand
delivery due to either the financial subsidies from the government or the restrictions of some …
delivery due to either the financial subsidies from the government or the restrictions of some …
[PDF][PDF] THE EFFECT OF CHARGING ELECTRIC VEHICLES ON DISTRIBUTION GRID OF THE RESIDENTIAL AREA
AAS GHAYTH - 2024 - researchgate.net
Recently, the global energy landscape is predominantly reliant on fossil fuels for both
electricity generation and transportation needs [1]. However, a confluence of emerging …
electricity generation and transportation needs [1]. However, a confluence of emerging …
A Method for Battery SoH Estimation Based on K-means and LightGBM algorithm
The accurate prediction of the State of Health (SOH) of lithium-ion batteries is critical for the
health monitoring and cost-effective operation of electric vehicles (EV) and energy storage …
health monitoring and cost-effective operation of electric vehicles (EV) and energy storage …