Key challenges for a large-scale development of battery electric vehicles: A comprehensive review
Nowadays, several countries have adopted an energy transition policy to achieve carbon
targets and decarbonize transport while improving their electricity mixes. Electric vehicles …
targets and decarbonize transport while improving their electricity mixes. Electric vehicles …
Graph neural networks: foundation, frontiers and applications
The field of graph neural networks (GNNs) has seen rapid and incredible strides over the
recent years. Graph neural networks, also known as deep learning on graphs, graph …
recent years. Graph neural networks, also known as deep learning on graphs, graph …
Applications of clustering methods for different aspects of electric vehicles
The growing penetration of electric vehicles can pose several challenges for power systems,
especially distribution systems, due to the introduction of significant uncertain load. Analysis …
especially distribution systems, due to the introduction of significant uncertain load. Analysis …
Urban computing: concepts, methodologies, and applications
Urbanization's rapid progress has modernized many people's lives but also engendered big
issues, such as traffic congestion, energy consumption, and pollution. Urban computing …
issues, such as traffic congestion, energy consumption, and pollution. Urban computing …
A data driven typology of electric vehicle user types and charging sessions
The understanding of charging behavior has been recognized as a crucial element in
optimizing roll out of charging infrastructure. While current literature provides charging …
optimizing roll out of charging infrastructure. While current literature provides charging …
The human is the loop: new directions for visual analytics
Visual analytics is the science of marrying interactive visualizations and analytic algorithms
to support exploratory knowledge discovery in large datasets. We argue for a shift from a …
to support exploratory knowledge discovery in large datasets. We argue for a shift from a …
Big trajectory data mining: A survey of methods, applications, and services
The increasingly wide usage of smart infrastructure and location-aware terminals has
helped increase the availability of trajectory data with rich spatiotemporal information. The …
helped increase the availability of trajectory data with rich spatiotemporal information. The …
Hierarchical optimization of charging infrastructure design and facility utilization
A Mirheli, L Hajibabai - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
This study proposes a bi-level optimization program to represent the electric vehicle (EV)
charging infrastructure design and utilization management problem with user-equilibrium …
charging infrastructure design and utilization management problem with user-equilibrium …
Optimization models for placement of an energy-aware electric vehicle charging infrastructure
Z Yi, PH Bauer - Transportation Research Part E: Logistics and …, 2016 - Elsevier
This paper addresses the problem of optimally placing charging stations in urban areas.
Two optimization criteria are used: maximizing the number of reachable households and …
Two optimization criteria are used: maximizing the number of reachable households and …