A Recommendation System for Electric Vehicles Users Based on Restricted Boltzmann Machine and WaterWheel Plant Algorithms

A Ibrahim, ESM El-Kenawy, MM Eid… - IEEE …, 2023 - ieeexplore.ieee.org
Ensuring reliable and easily accessible charging infrastructure becomes crucial as more
people adopt electric vehicles. This study introduces a recommendation system designed to …

The role of Internet of Things on electric vehicle charging infrastructure and consumer experience

NV Emodi, UB Akuru, MO Dioha, P Adoba… - Energies, 2023 - mdpi.com
The drive for net-zero emission and global decarbonization spurred the need for a
worldwide transition towards cleaner energy options. The fossil-fuel-dominated global …

[HTML][HTML] Toward Efficient Smart Management: A Review of Modeling and Optimization Approaches in Electric Vehicle-Transportation Network-Grid Integration

M Li, Y Wang, P Peng, Z Chen - Green Energy and Intelligent …, 2024 - Elsevier
The increasing scale of electric vehicles (EVs) and their stochastic charging behavior have
resulted in a growing coupling between the transportation network and the grid …

[HTML][HTML] Assessment of electric vehicle charging hub based on stochastic models of user profiles

M Cañigueral, L Burgas, J Massana, J Meléndez… - Expert Systems with …, 2023 - Elsevier
A significant challenge in the electric mobility transition is the planning of proper charging
infrastructures to incentivize the use of electric vehicles (EV) and guarantee a reliable …

Optimal planning and allocation of Plug-in Hybrid Electric Vehicles charging stations using a novel hybrid optimization technique

A Subramaniam, LRS Ravi Singh - Plos One, 2023 - journals.plos.org
India's expanding population has necessitated the development of alternate transportation
methods with electric vehicles (EVs) being the most indigenous and need for the current …

[HTML][HTML] Impact of public and residential smart EV charging on distribution power grid equipped with storage

M Khalid, J Thakur, SM Bhagavathy, M Topel - Sustainable Cities and …, 2024 - Elsevier
The large-scale penetration of electric vehicles (EV) in road transport brings a challenging
task to ensure the balance between supply and demand from urban districts. EVs, being …

Efficient approach to cyclic scheduling of high throughput screening systems for bioengineering

SW Zhang, T Li, NQ Wu, Y Qiao, W Guo - Information Sciences, 2024 - Elsevier
As a standard technology, high throughput screening (HTS) is widely applied for the
analysis and detection of new biological substances and drugs in pharmaceutical industries …

PROLIFIC: Deep Reinforcement Learning for Efficient EV Fleet Scheduling and Charging

J Ma, Y Zhang, Z Duan, L Tang - Sustainability, 2023 - mdpi.com
Electric vehicles (EVs) are becoming increasingly popular in ride-hailing services, but their
slow charging speed negatively affects service efficiency. To address this challenge, we …

[HTML][HTML] Chaotic Harris Hawks Optimization Algorithm for Electric Vehicles Charge Scheduling

VM Kumar, C Bharatiraja, A ELrashidi, KM AboRas - Energy Reports, 2024 - Elsevier
Electric Vehicle (EV) technology and migration are hindered by battery sizing, short driving
ranges, and optimal operations. This article focuses on developing a strategy for scheduling …

Distributed Source-Load-Storage Cooperative Low-Carbon Scheduling Strategy Considering Vehicle-to-Grid Aggregators

X Xu, Z Qiu, T Zhang, H Gao - Journal of Modern Power …, 2024 - ieeexplore.ieee.org
The vehicle-to-grid (V2G) technology enables the bidirectional power flow between electric
vehicle (EV) batteries and the power grid, making EV-based mobile energy storage an …