[HTML][HTML] Navigating the complex realities of electric vehicle adoption: A comprehensive study of government strategies, policies, and incentives

SA Qadir, F Ahmad, AMAB Al-Wahedi, A Iqbal… - Energy Strategy …, 2024 - Elsevier
Management of sustainable transportation currently is one of the most important aspects of a
country's or a region's development from an economic and social point of view considering …

Digital twin enabled transition towards the smart electric vehicle charging infrastructure: A review

G Yu, X Ye, X Xia, YQ Chen - Sustainable Cities and Society, 2024 - Elsevier
Public charging infrastructure developments are the top agenda in both industrialised and
developing countries during the global transition from fossil fuel vehicles to electric vehicles …

Integration of Electric Vehicles (EVs) with Electrical Grid and Impact on Smart Charging

MS Ahsan, FA Tanvir, MK Rahman… - … Sciences and Arts, 2023 - jurnal.itscience.org
Abstract Integrating Electric Vehicles (EVs) with the electrical grid is a pivotal aspect of
modern transportation systems. This integration poses multifaceted challenges and …

[HTML][HTML] Hybrid coordination scheme based on fuzzy inference mechanism for residential charging of electric vehicles

S Hussain, RR Irshad, F Pallonetto, I Hussain… - Applied Energy, 2023 - Elsevier
The charging of electric vehicles (EVs) at residential premises is orchestrated through either
centralized or decentralized control mechanisms. The former emphasizes adherence to …

Dynamic carbon emission factor based interactive control of distribution network by a generalized regression neural network assisted optimization

X Zhang, Z Guo, F Pan, Y Yang, C Li - Energy, 2023 - Elsevier
To reduce the peak-valley difference of power consumption, the distribution system operator
(DSO) usually guides the electricity consumers to change their load profiles based on the …

Transfer learning based hybrid model for power demand prediction of large-scale electric vehicles

C Tian, Y Liu, G Zhang, Y Yang, Y Yan, C Li - Energy, 2024 - Elsevier
Accurately predicting the power demand of large-scale electric vehicles (EVs) is one of the
key tasks of power grid operation optimization. However, this task is difficult to complete due …

Assessing performance and satisfaction of micro-mobility in smart cities for sustainable clean energy transportation using novel APPRESAL method

T Manirathinam, S Narayanamoorthy, S Geetha… - Journal of Cleaner …, 2024 - Elsevier
Abstract South Korea signed the Global Methane Pledge to reduce methane emissions by
30% by 2030, updated its Nationally Determined Contribution (NDC) to target a 40 …

[HTML][HTML] Leveraging machine learning for efficient EV integration as mobile battery energy storage systems: Exploring strategic frameworks and incentives

MJ Salehpour, MJ Hossain - Journal of Energy Storage, 2024 - Elsevier
The emergence of electric vehicles is reshaping the energy landscape, requiring the
development of innovative energy integration mechanisms to engage prosumers. However …

[HTML][HTML] A Comprehensive Review of Developments in Electric Vehicles Fast Charging Technology

A Zentani, A Almaktoof, MT Kahn - Applied Sciences, 2024 - mdpi.com
Electric vehicle (EV) fast charging systems are rapidly evolving to meet the demands of a
growing electric mobility landscape. This paper provides a comprehensive overview of …

Charging Behavior Portrait of Electric Vehicle Users Based on Fuzzy C-Means Clustering Algorithm

A Yang, G Zhang, C Tian, W Peng, Y Liu - Energies, 2024 - mdpi.com
The rapid increase in electric vehicles (EVs) has led to a continuous expansion of electric
vehicle (EV) charging stations, imposing significant load pressures on the power grid …