A comprehensive review on electric vehicles smart charging: Solutions, strategies, technologies, and challenges
The role of electric vehicles (EVs) in energy systems will be crucial over the upcoming years
due to their environmental-friendly nature and ability to mitigate/absorb excess power from …
due to their environmental-friendly nature and ability to mitigate/absorb excess power from …
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 …
[HTML][HTML] The role of artificial intelligence in the mass adoption of electric vehicles
The electrification of mass transportation is hailed as a solution for reducing global
greenhouse-gas emissions and dependence on unsustainable energy sources. The annual …
greenhouse-gas emissions and dependence on unsustainable energy sources. The annual …
Daily electric vehicle charging load profiles considering demographics of vehicle users
Travel pattern of an electric vehicle (EV) user and the accuracy of their probability
distribution models are the key factors affecting the simulation and prediction of EV charging …
distribution models are the key factors affecting the simulation and prediction of EV charging …
An ensemble methodology for hierarchical probabilistic electric vehicle load forecasting at regular charging stations
Transportation electrification is a valid option for supporting decarbonization efforts but, at
the same time, the growing number of electric vehicles will produce new and unpredictable …
the same time, the growing number of electric vehicles will produce new and unpredictable …
Short-term electric vehicle charging demand prediction: A deep learning approach
S Wang, C Zhuge, C Shao, P Wang, X Yang, S Wang - Applied Energy, 2023 - Elsevier
Short-term prediction of the Electric Vehicle (EV) charging demand is of great importance to
the operation of EV fleets and charging stations. This paper develops a Long Short-Term …
the operation of EV fleets and charging stations. This paper develops a Long Short-Term …
Probabilistic charging power forecast of EVCS: Reinforcement learning assisted deep learning approach
The electric vehicle (EV) and electric vehicle charging station (EVCS) have been widely
deployed with the development of large-scale transportation electrifications. However, since …
deployed with the development of large-scale transportation electrifications. However, since …
[HTML][HTML] A review of electric vehicle load open data and models
The field of electric vehicle charging load modelling has been growing rapidly in the last
decade. In light of the Paris Agreement, it is crucial to keep encouraging better modelling …
decade. In light of the Paris Agreement, it is crucial to keep encouraging better modelling …
[HTML][HTML] Electric vehicle hosting capacity analysis: Challenges and solutions
The significant rise of electric vehicles (EVs) and distributed energy resources (DERs) poses
critical challenges to the distribution systems for maintaining statutory limits of technical and …
critical challenges to the distribution systems for maintaining statutory limits of technical and …
[HTML][HTML] Deep learning for intelligent demand response and smart grids: A comprehensive survey
Electricity is one of the mandatory commodities for mankind today. To address challenges
and issues in the transmission of electricity through the traditional grid, the concepts of smart …
and issues in the transmission of electricity through the traditional grid, the concepts of smart …