[HTML][HTML] Reinforcement learning for electric vehicle applications in power systems: A critical review
Electric vehicles (EVs) are playing an important role in power systems due to their significant
mobility and flexibility features. Nowadays, the increasing penetration of renewable energy …
mobility and flexibility features. Nowadays, the increasing penetration of renewable energy …
[HTML][HTML] How machine learning informs ride-hailing services: A survey
In recent years, online ride-hailing services have emerged as an important component of
urban transportation system, which not only provide significant ease for residents' travel …
urban transportation system, which not only provide significant ease for residents' travel …
[HTML][HTML] Dynamic stochastic electric vehicle routing with safe reinforcement learning
Dynamic routing of electric commercial vehicles can be a challenging problem since
besides the uncertainty of energy consumption there are also random customer requests …
besides the uncertainty of energy consumption there are also random customer requests …
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 …
Mobility-aware charging scheduling for shared on-demand electric vehicle fleet using deep reinforcement learning
With the emerging concept of sharing-economy, shared electric vehicles (EVs) are playing a
more and more important role in future mobility-on-demand traffic system. This article …
more and more important role in future mobility-on-demand traffic system. This article …
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' …
Deep reinforcement learning for the electric vehicle routing problem with time windows
The past decade has seen a rapid penetration of electric vehicles (EVs) as more and more
logistics and transportation companies start to deploy electric vehicles (EVs) for service …
logistics and transportation companies start to deploy electric vehicles (EVs) for service …
Heterogeneous attentions for solving pickup and delivery problem via deep reinforcement learning
Recently, there is an emerging trend to apply deep reinforcement learning to solve the
vehicle routing problem (VRP), where a learnt policy governs the selection of next node for …
vehicle routing problem (VRP), where a learnt policy governs the selection of next node for …
Dynamic ride-hailing with electric vehicles
We consider the problem of an operator controlling a fleet of electric vehicles for use in a
ride-hailing service. The operator, seeking to maximize profit, must assign vehicles to …
ride-hailing service. The operator, seeking to maximize profit, must assign vehicles to …
[HTML][HTML] Factors influencing the economic success of grid-to-vehicle and vehicle-to-grid applications—A review and meta-analysis
C Heilmann, G Friedl - Renewable and Sustainable Energy Reviews, 2021 - Elsevier
The growing number of plug-in electric vehicles (PEVs) has resulted in increasing
availability of battery storage capacities. When PEVs are idle and plugged-in, secondary …
availability of battery storage capacities. When PEVs are idle and plugged-in, secondary …