[HTML][HTML] Technical review of electric vehicle charging distribution models with considering driver behaviors impacts

W Lin, H Wei, L Yang, X Zhao - Journal of Traffic and Transportation …, 2024 - Elsevier
A massive market penetration of electric vehicles (EVs) associated with nonnegligible
energy consumption and environmental issues has imposed a big challenge on evaluating …

[HTML][HTML] Explainability and interpretability in electric load forecasting using machine learning techniques–A review

L Baur, K Ditschuneit, M Schambach, C Kaymakci… - Energy and AI, 2024 - Elsevier
Abstract Electric Load Forecasting (ELF) is the central instrument for planning and
controlling demand response programs, electricity trading, and consumption optimization …

Advancements in EV international standards: Charging, safety and grid integration with challenges and impacts

G Kumar, S Mikkili - International Journal of Green Energy, 2024 - Taylor & Francis
Electric Vehicle (EV) standardization is of paramount importance in the rapidly evolving
automotive landscape, playing a pivotal role in ensuring interoperability, safety, and global …

[HTML][HTML] Machine learning based state-of-charge prediction of electrochemical green hydrogen production: Zink-Zwischenschritt-Elektrolyseur (ZZE)

D Vila, E Hornberger, C Toigo - Energy and AI, 2024 - Elsevier
The intermittency of renewable energy is a key limiting factor for the successful
decarbonization of both energy producing and consuming sectors. Green hydrogen has the …

Optimal charging/discharging management strategy for electric vehicles

M Algafri, U Baroudi - Applied Energy, 2024 - Elsevier
Electric vehicles (EVs) are experiencing substantial investment and widespread acceptance.
However, successful penetration of the global market is contingent upon the development of …

Towards a BMS2 Design Framework: Adaptive Data-driven State-of-health Estimation for Second-Life Batteries with BIBO Stability Guarantees

X Cui, MA Khan, S Singh, R Sharma… - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
A key challenge that is currently hindering the widespread use of retired Electric Vehicle
(EV) batteries for Second-Life (SL) applications is the ability to accurately estimate and …

Distributed Source-Load-Storage Cooperative Low-Carbon Scheduling Strategy Considering Vehicle-to-Grid Aggregators

X Xu, Z Qiu, T Zhang, H Gao - Journal of Modern Power …, 2024 - ieeexplore.ieee.org
The vehicle-to-grid (V2G) technology enables the bidirectional power flow between electric
vehicle (EV) batteries and the power grid, making EV-based mobile energy storage an …

Aggregate Peak EV Charging Demand: The Influence of Segmented Network Tariffs

NK Panda, N Li, SH Tindemans - 2024 IEEE Transportation …, 2024 - ieeexplore.ieee.org
Aggregate peak Electric Vehicle (EV) charging demand is a matter of growing concern for
network operators as it severely limits the network's capacity, preventing its reliable …

Bilevel planning of electric vehicle charging station and battery swapping station considering real-time uncertainty

M Saha, SS Thakur, A Bhattacharya - International Journal of …, 2024 - Taylor & Francis
The placement of electric vehicle charging stations (EVCS) and battery swapping stations
(BSS) is crucial to meet demand while minimizing their impact on the power system network …

Renewable sources-based efficient electric vehicle charging system through power forecasting and charge scheduling

S Ghosh, B Moulik, HP Singh, VS Bhadoria - International Journal of …, 2024 - Springer
The increased rate of battery-limited Electric Vehicles (EVs) creates inadequacy in the
efficient charging of vehicles. This results in EV Charging (EVC) Scheduling (EVCS) issue …