Machine learning approaches for EV charging behavior: A review

S Shahriar, AR Al-Ali, AH Osman, S Dhou… - IEEE Access, 2020 - ieeexplore.ieee.org
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 …

A review of electric vehicle load open data and models

Y Amara-Ouali, Y Goude, P Massart, JM Poggi, H Yan - Energies, 2021 - mdpi.com
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 …

Electric vehicle charging load forecasting: A comparative study of deep learning approaches

J Zhu, Z Yang, M Mourshed, Y Guo, Y Zhou, Y Chang… - Energies, 2019 - mdpi.com
Load forecasting is one of the major challenges of power system operation and is crucial to
the effective scheduling for economic dispatch at multiple time scales. Numerous load …

Forecasting charging demand of electric vehicles using time-series models

Y Kim, S Kim - Energies, 2021 - mdpi.com
This study compared the methods used to forecast increases in power consumption caused
by the rising popularity of electric vehicles (EVs). An excellent model for each region was …

[HTML][HTML] A novel forecasting approach to schedule aggregated electric vehicle charging

N Brinkel, L Visser, W van Sark, T AlSkaif - Energy and AI, 2023 - Elsevier
To be able to schedule the charging demand of an electric vehicle fleet using smart
charging, insight is required into different charging session characteristics of the considered …

[HTML][HTML] Forecasting flexibility of charging of electric vehicles: Tree and cluster-based methods

E Genov, C De Cauwer, G Van Kriekinge… - Applied Energy, 2024 - Elsevier
Scheduling electric vehicle charging sessions allows to aggregate flexibility in order to
minimize energy costs and reduce congestion in the electricity grid. Existing research shows …

Uncontrolled electric vehicle charging impacts on distribution electric power systems with primarily residential, commercial or industrial loads

CB Jones, M Lave, W Vining, BM Garcia - Energies, 2021 - mdpi.com
An increase in Electric Vehicles (EV) will result in higher demands on the distribution electric
power systems (EPS) which may result in thermal line overloading and low voltage …

Forecast of electric vehicle sales in the world and China based on PCA-GRNN

M Wu, W Chen - Sustainability, 2022 - mdpi.com
Since electric vehicles (EVs) could reduce the growing concerns on environmental pollution
issues and relieve the social dependency of fossil fuels, the EVs market is fast increased in …

[HTML][HTML] Comparison of electric vehicle load forecasting across different spatial levels with incorporated uncertainty estimation

W Khan, W Somers, S Walker, K de Bont… - Energy, 2023 - Elsevier
Accurate load forecasting is important to mitigate the negative impact of Electric vehicle
integration into the existing grid. Previous studies mostly focus on individual or aggregated …

Electric vehicle energy demand prediction techniques: An in-depth and critical systematic review

F Marzbani, AH Osman, MS Hassan - IEEE Access, 2023 - ieeexplore.ieee.org
Accurate forecast of electric vehicle energy demand is vital for maintaining the stability and
reliability of power systems. With the increasing prevalence of electric vehicles in …