Distribution system services provided by electric vehicles: Recent status, challenges, and future prospects
Trend-setting countries have promoted or even employed an increased number of electric
vehicles (EVs) and other distributed energy resources (DERs) in their power systems. This …
vehicles (EVs) and other distributed energy resources (DERs) in their power systems. This …
A novel intelligent transport system charging scheduling for electric vehicles using Grey Wolf Optimizer and Sail Fish Optimization algorithms
R Rajamoorthy, G Arunachalam… - Energy Sources, Part …, 2022 - Taylor & Francis
ABSTRACT Intelligent Transport System (ITS) intentions to attain traffic efficiency by
diminishing traffic difficulties. It supplies information like traffic issues, real-time traveling …
diminishing traffic difficulties. It supplies information like traffic issues, real-time traveling …
Grey wolf optimizer-based machine learning algorithm to predict electric vehicle charging duration time
Precise charging time prediction can effectively mitigate the inconvenience to drivers
induced by inevitable charging behavior throughout trips. Although the effectiveness of the …
induced by inevitable charging behavior throughout trips. Although the effectiveness of the …
Intelligent energy management scheme‐based coordinated control for reducing peak load in grid‐connected photovoltaic‐powered electric vehicle charging stations
Abstract Solar‐based Distributed Generation (DG) powered Electric Vehicles (EVs) charging
stations are widely adopted nowadays in the power system networks. In this process, the …
stations are widely adopted nowadays in the power system networks. In this process, the …
Allocation optimization of electric vehicle charging station (EVCS) considering with charging satisfaction and distributed renewables integration
J Liu, T Zhang, J Zhu, T Ma - Energy, 2018 - Elsevier
Under the background of large-scale electric vehicle (EV) development, it is necessary to
design and deploy the EVCS more scientific. Among various factors influential to the EVCS …
design and deploy the EVCS more scientific. Among various factors influential to the EVCS …
The application of improved random forest algorithm on the prediction of electric vehicle charging load
Y Lu, Y Li, D Xie, E Wei, X Bao, H Chen, X Zhong - Energies, 2018 - mdpi.com
To cope with the increasing charging demand of electric vehicle (EV), this paper presents a
forecasting method of EV charging load based on random forest algorithm (RF) and the load …
forecasting method of EV charging load based on random forest algorithm (RF) and the load …
Modelling of large-scale electric vehicles charging demand: A New Zealand case study
Due to increasing electric vehicles (EVs) uptakes, power system distribution network will
have to accommodate the increased load level for charging EVs. Thus, the importance of a …
have to accommodate the increased load level for charging EVs. Thus, the importance of a …
[HTML][HTML] Energy policy regime change and advanced energy storage: A comparative analysis
M Winfield, S Shokrzadeh, A Jones - Energy Policy, 2018 - Elsevier
This paper employs a multi-level perspective approach to examine the development of
policy frameworks around energy storage technologies. The paper focuses on the emerging …
policy frameworks around energy storage technologies. The paper focuses on the emerging …
Discrete stochastic control for energy management with photovoltaic electric vehicle charging station
This paper develops an intelligent energy management system for optimal operation of grid
connected solar powered electric vehicle (EV) charging station at workplace. The optimal …
connected solar powered electric vehicle (EV) charging station at workplace. The optimal …
Design and simulation of romanian solar energy charging station for electric vehicles
Since mid 2010, petrol consumption in the transport sector has increased at a higher rate
than in other sectors. The transport sector generates 35% of the total CO2 emissions. In this …
than in other sectors. The transport sector generates 35% of the total CO2 emissions. In this …