Charging infrastructure for commercial electric vehicles: Challenges and future works
The journey towards transportation electrification started with small electric vehicles (ie,
electric cars), which have enjoyed an increasing level of global interest in recent years …
electric cars), which have enjoyed an increasing level of global interest in recent years …
Review on scheduling, clustering, and forecasting strategies for controlling electric vehicle charging: Challenges and recommendations
The usage and adoption of electric vehicles (EVs) have increased rapidly in the 21st century
due to the shifting of the global energy demand away from fossil fuels. The market …
due to the shifting of the global energy demand away from fossil fuels. The market …
Semantic web and knowledge graphs for industry 4.0
In recent years, due to technological advancements, the concept of Industry 4.0 (I4. 0) is
gaining popularity, while presenting several technical challenges being tackled by both the …
gaining popularity, while presenting several technical challenges being tackled by both the …
Neuro-fuzzy and networks-based data driven model for multi-charging scenarios of plug-in-electric vehicles
In recent times, significant progress has been achieved in the domain of intelligent and eco-
friendly transportation. Electric mobility emerges as a viable and effective solution, offering …
friendly transportation. Electric mobility emerges as a viable and effective solution, offering …
Analyzing the investments strategies for renewable energies based on multi-criteria decision model
The purpose of this study is to determine appropriate innovative strategies for the renewable
energy investments. For this purpose, a hybrid multi-criteria decision-making (MCDM) model …
energy investments. For this purpose, a hybrid multi-criteria decision-making (MCDM) model …
Optimization of waiting time for electric vehicles using a fuzzy inference system
Electric vehicles (EVs) need to be recharged at intermediate locations, such as shopping
malls, restaurants, and parking lots, to meet the daily commute requirements of their users …
malls, restaurants, and parking lots, to meet the daily commute requirements of their users …
[HTML][HTML] Enhancing electric vehicle charging efficiency at the aggregator level: A deep-weighted ensemble model for wholesale electricity price forecasting
S Hussain, AP Teni, I Hussain, Z Hussain, F Pallonetto… - Energy, 2024 - Elsevier
The proliferation of electric vehicle (EV) adoption strains low-voltage distribution networks,
particularly in aggregated charging scenarios, prompting utility companies to incentivize …
particularly in aggregated charging scenarios, prompting utility companies to incentivize …
Resource optimized federated learning-enabled cognitive internet of things for smart industries
Leveraging the cognitive Internet of things (C-IoT), emerging computing technologies, and
machine learning schemes for industries can assist in streamlining manufacturing …
machine learning schemes for industries can assist in streamlining manufacturing …
[HTML][HTML] A two-layer decentralized charging approach for residential electric vehicles based on fuzzy data fusion
This work presents a two-layer decentralized charging approach (TLDCA) based on fuzzy
data fusion concerning the economic and power layers for optimizing the charging cost of …
data fusion concerning the economic and power layers for optimizing the charging cost of …
An optimal management for charging and discharging of electric vehicles in an intelligent parking lot considering vehicle owner's random behaviors
Because of missing the stochastic behaviors and decisions of the electric vehicle (EV)
owners during the definition of the structure of energy management for charging/discharging …
owners during the definition of the structure of energy management for charging/discharging …