Hierarchical operation of electric vehicle charging station in smart grid integration applications—An overview
With the fast development of electrifications of vehicles, EV charging stations are booming in
coming years. Meanwhile, the growing demand for charging power, and the stochastic …
coming years. Meanwhile, the growing demand for charging power, and the stochastic …
Reinforcement learning based EV charging management systems–a review
HM Abdullah, A Gastli, L Ben-Brahim - IEEE Access, 2021 - ieeexplore.ieee.org
To mitigate global warming and energy shortage, integration of renewable energy
generation sources, energy storage systems, and plug-in electric vehicles (PEVs) have been …
generation sources, energy storage systems, and plug-in electric vehicles (PEVs) have been …
ANTi-Vax: a novel Twitter dataset for COVID-19 vaccine misinformation detection
Abstract Objectives COVID-19 (SARS-CoV-2) pandemic has infected hundreds of millions
and inflicted millions of deaths around the globe. Fortunately, the introduction of COVID-19 …
and inflicted millions of deaths around the globe. Fortunately, the introduction of COVID-19 …
Fast-charging station for electric vehicles, challenges and issues: A comprehensive review
A Ghasemi-Marzbali - Journal of Energy Storage, 2022 - Elsevier
In recent years, many countries have set specific goals to replace fossil fuel vehicles with the
electric ones due to environmental concerns and issues related to energy supply security; it …
electric ones due to environmental concerns and issues related to energy supply security; it …
The role of artificial intelligence in the mass adoption of electric vehicles
The electrification of mass transportation is hailed as a solution for reducing global
greenhouse-gas emissions and dependence on unsustainable energy sources. The annual …
greenhouse-gas emissions and dependence on unsustainable energy sources. The annual …
Electric vehicle charging service operations: A review of machine learning applications for infrastructure planning, control, pricing and routing
N Fescioglu-Unver, MY Aktaş - Renewable and Sustainable Energy …, 2023 - Elsevier
The majority of global road transportation emissions come from passenger and freight
vehicles. Electric vehicles (EV) provide a sustainable transportation way, but customers' …
vehicles. Electric vehicles (EV) provide a sustainable transportation way, but customers' …
Prediction of EV charging behavior using machine learning
As a key pillar of smart transportation in smart city applications, electric vehicles (EVs) are
becoming increasingly popular for their contribution in reducing greenhouse gas emissions …
becoming increasingly popular for their contribution in reducing greenhouse gas emissions …
When smart cities get smarter via machine learning: An in-depth literature review
The manuscript represents a comeprehensive and systematic literature review on the
machine learning methods in the emerging applications of the smart cities. Application …
machine learning methods in the emerging applications of the smart cities. Application …
A V2G-oriented reinforcement learning framework and empirical study for heterogeneous electric vehicle charging management
Abstract Vehicle-to-grid (V2G) technology is a promising solution to energy supply security
issues associated with future electric grids. A decisive factor to successful V2G is effective …
issues associated with future electric grids. A decisive factor to successful V2G is effective …
Application of artificial intelligence for EV charging and discharging scheduling and dynamic pricing: A review
The high penetration of electric vehicles (EVs) will burden the existing power delivery
infrastructure if their charging and discharging are not adequately coordinated. Dynamic …
infrastructure if their charging and discharging are not adequately coordinated. Dynamic …