[HTML][HTML] Demand side management of electric vehicles in smart grids: A survey on strategies, challenges, modeling, and optimization
The shift of transportation technology from internal combustion engine (ICE) based vehicles
to electric vehicles (EVs) in recent times due to their lower emissions, fuel costs, and greater …
to electric vehicles (EVs) in recent times due to their lower emissions, fuel costs, and greater …
[HTML][HTML] A systematic review on power systems planning and operations management with grid integration of transportation electrification at scale
Transportation electrification plays a crucial role in mitigating greenhouse gas (GHG)
emissions and enabling the decarbonization of power systems. However, current research …
emissions and enabling the decarbonization of power systems. However, current research …
Charging and discharging optimization strategy for electric vehicles considering elasticity demand response
L Zhang, C Sun, G Cai, LH Koh - ETransportation, 2023 - Elsevier
The electrification of urban transportation systems is a critical step toward achieving low-
carbon transportation and meeting climate commitments. With the support of the Chinese …
carbon transportation and meeting climate commitments. With the support of the Chinese …
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 …
Optimal bidding strategy of a virtual power plant in day-ahead energy and frequency regulation markets: A deep learning-based approach
Various challenges and opportunities are recognized by increasing the penetration of
distributed energy resources (DERs) in power systems. In this regard, the concept of virtual …
distributed energy resources (DERs) in power systems. In this regard, the concept of virtual …
Ultra super fast authentication protocol for electric vehicle charging using extended chaotic maps
W Wang, Z Han, M Alazab… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Due to the explosive increase of electric vehicles (EVs) and universal charging stations
(CS), achieving fast authentication is an important topic in the vehicle-to-grid (V2G) network …
(CS), achieving fast authentication is an important topic in the vehicle-to-grid (V2G) network …
Energy management strategy of a novel parallel electric-hydraulic hybrid electric vehicle based on deep reinforcement learning and entropy evaluation
An excellent energy management strategy is paramount to the new energy vehicle safety,
durability, and reliability, which invariably affects the driving experience. This paper …
durability, and reliability, which invariably affects the driving experience. This paper …
Price-based residential demand response management in smart grids: A reinforcement learning-based approach
This paper studies price-based residential demand response management (PB-RDRM) in
smart grids, in which non-dispatchable and dispatchable loads (including general loads and …
smart grids, in which non-dispatchable and dispatchable loads (including general loads and …
A survey on intelligent Internet of Things: Applications, security, privacy, and future directions
The rapid advances in the Internet of Things (IoT) have promoted a revolution in
communication technology and offered various customer services. Artificial intelligence (AI) …
communication technology and offered various customer services. Artificial intelligence (AI) …
Optimal participation of a virtual power plant in electricity market considering renewable energy: A deep learning-based approach
Recently, the penetration of renewable energy sources (RESs) and electric vehicles (EVs),
has increased significantly in the power system. These resources bring many advantages to …
has increased significantly in the power system. These resources bring many advantages to …