Deep reinforcement learning for EV charging navigation by coordinating smart grid and intelligent transportation system
T Qian, C Shao, X Wang… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
A coordinated operation of smart grid (SG) and intelligent transportation system (ITS)
provides electric vehicle (EV) owners with a myriad of power and transportation network …
provides electric vehicle (EV) owners with a myriad of power and transportation network …
Electrical vehicle charging services planning and operation with interdependent power networks and transportation networks: A review of the current scenario and …
S Jawad, J Liu - Energies, 2020 - mdpi.com
The growing trend in electrical vehicle (EV) deployment has transformed independent power
network and transportation network studies into highly congested interdependent network …
network and transportation network studies into highly congested interdependent network …
Real-time fast charging station recommendation for electric vehicles in coupled power-transportation networks: A graph reinforcement learning method
With the increasing penetration rate of electric vehicles, the fast charging demands of
electric vehicles will have a significant influence on the operation of coupled power …
electric vehicles will have a significant influence on the operation of coupled power …
Load factor improvement of the electricity grid considering distributed energy resources operation and regulation of peak load
In recent decades, in urban centers, several services (such as health, food, security,
connectivity, etc.) have become more dependent on electricity. With the population increase …
connectivity, etc.) have become more dependent on electricity. With the population increase …
Distributed routing and charging scheduling optimization for internet of electric vehicles
In this paper, we consider an Internet of Electric Vehicles (IoEV) powered by heterogeneous
charging facilities in the transportation network. In particular, we take into account the state …
charging facilities in the transportation network. In particular, we take into account the state …
A holistic review on advanced bi-directional EV charging control algorithms
The rapid growth of electric vehicles (EVs) has promised a next-generation transportation
system with reduced carbon emission. The fast development of EVs and charging facilities is …
system with reduced carbon emission. The fast development of EVs and charging facilities is …
Joint routing and charging problem of multiple electric vehicles: A fast optimization algorithm
Logistics has gained great attentions with the prosperous development of e-commerce,
which is often seen as the classic optimal vehicle routing problem. Meanwhile, electric …
which is often seen as the classic optimal vehicle routing problem. Meanwhile, electric …
Deep reinforcement learning based optimal route and charging station selection
This paper proposes an optimal route and charging station selection (RCS) algorithm based
on model-free deep reinforcement learning (DRL) to overcome the uncertainty issues of the …
on model-free deep reinforcement learning (DRL) to overcome the uncertainty issues of the …
考虑充电需求空间灵活性的电动汽车运行优化研究综述
崔岩， 胡泽春， 段小宇 - 电网技术, 2021 - epjournal.csee.org.cn
随着电动汽车渗透率的升高, 电动汽车充电负荷对电网的影响也越来越大. 一方面,
无序的充电负荷会危害电网运行; 另一方面, 电动汽车具有移动特性, 电动汽车充电需求的空间 …
无序的充电负荷会危害电网运行; 另一方面, 电动汽车具有移动特性, 电动汽车充电需求的空间 …
A graph reinforcement learning-based decision-making platform for real-time charging navigation of urban electric vehicles
To provide efficient charging behavior decision-making for urban electric vehicles (EVs), this
article proposes a new platform for real-time EV charging navigation (EVCN) based on …
article proposes a new platform for real-time EV charging navigation (EVCN) based on …