[HTML][HTML] Deep reinforcement learning control of electric vehicle charging in the presence of photovoltaic generation
In recent years, the importance of electric mobility has increased in response to climate
change. The fast-growing deployment of electric vehicles (EVs) worldwide is expected to …
change. The fast-growing deployment of electric vehicles (EVs) worldwide is expected to …
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 …
Deep reinforcement learning for continuous electric vehicles charging control with dynamic user behaviors
This paper aims to crack the individual EV charging scheduling problem considering the
dynamic user behaviors and the electricity price. The uncertainty of the EV charging demand …
dynamic user behaviors and the electricity price. The uncertainty of the EV charging demand …
CDDPG: A deep-reinforcement-learning-based approach for electric vehicle charging control
Electric vehicle (EV) has become one of the most critical components in the smart grid with
the applications of the Internet-of-Things (IoT) technologies. Real-time charging control is …
the applications of the Internet-of-Things (IoT) technologies. Real-time charging control is …
Constrained EV charging scheduling based on safe deep reinforcement learning
Electric vehicles (EVs) have been popularly adopted and deployed over the past few years
because they are environment-friendly. When integrated into smart grids, EVs can operate …
because they are environment-friendly. When integrated into smart grids, EVs can operate …
Electric vehicle charging and discharging algorithm based on reinforcement learning with data-driven approach in dynamic pricing scheme
In the smart grid environment, the penetration of electric vehicle (EV) is increasing, and
dynamic pricing and vehicle-to-grid technologies are being introduced. Consequently …
dynamic pricing and vehicle-to-grid technologies are being introduced. Consequently …
[HTML][HTML] Power output optimization of electric vehicles smart charging hubs using deep reinforcement learning
A Bertolini, MSE Martins, SM Vieira… - Expert Systems with …, 2022 - Elsevier
Since most branches of the distribution grid may already be close to their maximum capacity,
smart management when charging electric vehicles (EVs) is becoming more and more …
smart management when charging electric vehicles (EVs) is becoming more and more …
Deep reinforcement learning for charging scheduling of electric vehicles considering distribution network voltage stability
D Liu, P Zeng, S Cui, C Song - Sensors, 2023 - mdpi.com
The rapid development of electric vehicle (EV) technology and the consequent charging
demand have brought challenges to the stable operation of distribution networks (DNs). The …
demand have brought challenges to the stable operation of distribution networks (DNs). The …
A transfer learning method for electric vehicles charging strategy based on deep reinforcement learning
K Wang, H Wang, Z Yang, J Feng, Y Li, J Yang, Z Chen - Applied Energy, 2023 - Elsevier
Reinforcement learning (RL) is popularly used for the development of an orderly charging
strategy for electric vehicles (EVs). However, a new environment (eg, charging areas and …
strategy for electric vehicles (EVs). However, a new environment (eg, charging areas and …
A deep reinforcement learning method for pricing electric vehicles with discrete charging levels
The effective pricing of electric vehicle (EV) charging by aggregators constitutes a key
problem toward the realization of the significant EV flexibility potential in deregulated …
problem toward the realization of the significant EV flexibility potential in deregulated …