[HTML][HTML] An in-depth analysis of electric vehicle charging station infrastructure, policy implications, and future trends
A significant transformation occurs globally as transportation switches from fossil fuel-
powered to zero and ultra-low tailpipe emissions vehicles. The transition to the electric …
powered to zero and ultra-low tailpipe emissions vehicles. The transition to the electric …
Electric vehicle charging service operations: A review of machine learning applications for infrastructure planning, control, pricing and routing
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' …
Smart City Charging Station allocation for electric vehicles using analytic hierarchy process and multiobjective goal-programming
In view of recent developments in urban transport systems, there has been a significant
increase in the presence of electric vehicles on the market. One of the major challenges …
increase in the presence of electric vehicles on the market. One of the major challenges …
A comprehensive review on developments in electric vehicle charging station infrastructure and present scenario of India
The transportation sector of the world is in the transformation stage, shifting from
conventional fossil fuel-powered vehicles to zero or ultra-low tailpipe emission vehicles. To …
conventional fossil fuel-powered vehicles to zero or ultra-low tailpipe emission vehicles. To …
Neutralizing China's transportation sector requires combined decarbonization efforts from power and hydrogen supply
Transportation is vital to meeting China's carbon neutrality target by 2060. Nevertheless, the
question of how to reach it remains unclear. Here, we employ a bottom-up energy system …
question of how to reach it remains unclear. Here, we employ a bottom-up energy system …
Operating status prediction model at EV charging stations with fusing spatiotemporal graph convolutional network
S Su, Y Li, Q Chen, M **a… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This article proposes the operating status prediction model at electric vehicle (EV) charging
stations based on the spatiotemporal graph convolutional network (SGCN). The SGCN …
stations based on the spatiotemporal graph convolutional network (SGCN). The SGCN …
Scalable and robust outlier detector using hierarchical clustering and long short-term memory (lstm) neural network for the internet of things
The emerging centralized entities, like cloud, edge, or Software-Defined Network (SDN),
make automated decisions for the Internet of Things (IoT) applications based on the …
make automated decisions for the Internet of Things (IoT) applications based on the …
A detailed review on enhancing the security in Internet of Things-Based Smart City Environment using Machine learning algorithms
Over the past few years, smart cities have seamlessly integrated into our daily lives, offering
convenience and simplicity. However, as these cities become increasingly interconnected …
convenience and simplicity. However, as these cities become increasingly interconnected …
Overview of smart home concepts through energy management systems, numerical research, and future perspective
The concept of smart homes is considered either to enhance life quality of people or to
ensure energy management of buildings, where intelligent technologies are used to achieve …
ensure energy management of buildings, where intelligent technologies are used to achieve …
Electric vehicle charging station infrastructure: A review
The world transportation area is in the change state, it is moving from regular non-renewable
energy source fueled vehicles to super low to no tailpipe discharge vehicles. To help this …
energy source fueled vehicles to super low to no tailpipe discharge vehicles. To help this …