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[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 …
A review of consumer preferences of and interactions with electric vehicle charging infrastructure
This paper presents a literature review of studies that investigate infrastructure needs to
support the market introduction of plug-in electric vehicles (PEVs). It focuses on literature …
support the market introduction of plug-in electric vehicles (PEVs). It focuses on literature …
[HTML][HTML] User preferences for EV charging, pricing schemes, and charging infrastructure
This paper analyses user preferences related to electric vehicle (EV) charging decisions.
The analysis includes both a qualitative as well as a quantitative assessment. The …
The analysis includes both a qualitative as well as a quantitative assessment. The …
Modeling of machine learning with SHAP approach for electric vehicle charging station choice behavior prediction
Growing electric mobility makes it difficult for electric vehicles (EVs) to charge adequately
while charging infrastructure capacities are limited. Due to the prolonged charging times …
while charging infrastructure capacities are limited. Due to the prolonged charging times …
Exploring electric vehicle charging patterns: Mixed usage of charging infrastructure
This paper examines the charging behavior of 7,979 plug-in electric vehicle (PEV) owners in
California. The study investigates where people charge be it at home, at work, or at public …
California. The study investigates where people charge be it at home, at work, or at public …
Machine learning approaches for EV charging behavior: A review
As the smart city applications are moving from conceptual models to development phase,
smart transportation is one of smart cities applications and it is gaining ground nowadays …
smart transportation is one of smart cities applications and it is gaining ground nowadays …
Battery electric vehicle usage pattern analysis driven by massive real-world data
Electric vehicles (EVs) are playing a key role in supporting transportation electrification and
reducing air pollution and greenhouse gas emissions. The increased number of EVs may …
reducing air pollution and greenhouse gas emissions. The increased number of EVs may …
Prediction of electric vehicle charging duration time using ensemble machine learning algorithm and Shapley additive explanations
Electric vehicles (EVs) are the most important components of smart transportation systems.
Limited driving range, prolonged charging times, and inadequate charging infrastructure are …
Limited driving range, prolonged charging times, and inadequate charging infrastructure are …
A review of data sources for electric vehicle integration studies
The sales of electric vehicles (EVs) are rapidly increasing and their integration in the power
system is becoming a crucial issue. However, there is a scarcity of necessary data to derive …
system is becoming a crucial issue. However, there is a scarcity of necessary data to derive …
Factors influencing the economics of public charging infrastructures for EV–A review
Growing concerns about energy conservation and the environmental impacts of greenhouse
gas emissions over the world have promoted the development of the electric vehicles (EVs) …
gas emissions over the world have promoted the development of the electric vehicles (EVs) …