[HTML][HTML] Technical review of electric vehicle charging distribution models with considering driver behaviors impacts
A massive market penetration of electric vehicles (EVs) associated with nonnegligible
energy consumption and environmental issues has imposed a big challenge on evaluating …
energy consumption and environmental issues has imposed a big challenge on evaluating …
A review on mathematical models of electric vehicle for energy management and grid integration studies
P Thomas, PK Shanmugam - Journal of Energy Storage, 2022 - Elsevier
Electric Vehicle (EV) users are always concerned about the vehicle's mileage, available
electric range, availability of the nearest charging station, power processing capabilities, slot …
electric range, availability of the nearest charging station, power processing capabilities, slot …
Enhancing sustainability in electric mobility: Exploring blockchain applications for secure EV charging and energy management
The global shift towards reducing carbon emissions has spurred a growing interest in
electric vehicles (EVs) over traditional fossil fuel-based internal combustion engines …
electric vehicles (EVs) over traditional fossil fuel-based internal combustion engines …
[HTML][HTML] Explainability and interpretability in electric load forecasting using machine learning techniques–A review
Abstract Electric Load Forecasting (ELF) is the central instrument for planning and
controlling demand response programs, electricity trading, and consumption optimization …
controlling demand response programs, electricity trading, and consumption optimization …
User decision-based analysis of urban electric vehicle loads
L Dong, C Wang, M Li, K Sun, T Chen… - CSEE Journal of Power …, 2020 - ieeexplore.ieee.org
The grid load attributable to electric vehicles (EVs) is affected by the choice behaviors of EV
users. To analyze the effects of factors such as travel demand and electricity prices on user …
users. To analyze the effects of factors such as travel demand and electricity prices on user …
Deep learning-based power prediction aware charge scheduling approach in cloud based electric vehicular network
Electric vehicles (EVs) are considered emerging popularity due to their cost-saving and eco-
friendliness nature. The charging of EVs with elevated efficiency is a major issue for users as …
friendliness nature. The charging of EVs with elevated efficiency is a major issue for users as …
Review on optimization of forecasting and coordination strategies for electric vehicle charging
The rapid development of electric vehicles (EVs) has benefited from the fact that more and
more countries or regions have begun to attach importance to clean energy and …
more countries or regions have begun to attach importance to clean energy and …
Real-time locally optimal schedule for electric vehicle load via diversity-maximization NSGA-II
As distributed energy storage equipments, electric vehicles (EVs) have great potential for
applications in power systems. Meanwhile, reasonable optimization of the charging time of …
applications in power systems. Meanwhile, reasonable optimization of the charging time of …
Forecasting Electric Vehicles' Charging Behavior at Charging Stations: A Data Science-Based Approach.
The rising adoption of electric vehicles (EVs), driven by carbon neutrality goals, has
prompted the need for accurate forecasting of EVs' charging behavior. However, this task …
prompted the need for accurate forecasting of EVs' charging behavior. However, this task …
A double‐deep Q‐network‐based energy management strategy for hybrid electric vehicles under variable driving cycles
J Zhang, X Jiao, C Yang - Energy Technology, 2021 - Wiley Online Library
As a core part of hybrid electric vehicles (HEVs), energy management strategy (EMS)
directly affects the vehicle fuel‐saving performance by regulating energy flow between …
directly affects the vehicle fuel‐saving performance by regulating energy flow between …