[HTML][HTML] Electric vehicle (EV) review: bibliometric analysis of electric vehicle trend, policy, lithium-ion battery, battery management, charging infrastructure, smart …
Electric vehicles (EVs) have seen significant growth due to the increasing awareness about
environmental concerns and the negative impacts of internal combustion engine vehicles …
environmental concerns and the negative impacts of internal combustion engine vehicles …
Python-Based Hybrid Ai Models For Real-Time Grid Stability Analysis In Solar Energy Networks
The growing reliance on renewable energy, particularly solar power, presents significant
challenges to grid stability due to the variability and intermittency of energy generation …
challenges to grid stability due to the variability and intermittency of energy generation …
[PDF][PDF] Forecasting electric vehicle adoption in the USA using machine learning models
| ABSTRACT Electric vehicles (Electric Vehicles) are at the vanguard of the global
dispensation to sustainable transportation, depicting a pivotal step toward diminishing …
dispensation to sustainable transportation, depicting a pivotal step toward diminishing …
[HTML][HTML] Sustainability, emission trading system and carbon leakage: An approach based on neural networks and multicriteria analysis
Two transitions, green and digital, are changing the operations and strategies of industrial
systems. At the same time, businesses are challenged to be globally competitive. Europe …
systems. At the same time, businesses are challenged to be globally competitive. Europe …
Strategic forecasting for electric vehicle sales: a cutting edge holistic model leveraging key factors and machine learning technique
This study aims to explore the influential factors affecting electric vehicle (EV) sales through
an extensive literature review and identify these factors' importance in EV sales forecasting …
an extensive literature review and identify these factors' importance in EV sales forecasting …
A combined trade-off strategy of battery degradation, charge retention, and driveability for electric vehicles
MI Tawfik, A Ali, M Asfoor - Scientific Reports, 2024 - nature.com
Electric vehicles are considered as an emerging solution to mitigate the environmental
footprint of transportation sector. Therefore, researchers and automotive developers devote …
footprint of transportation sector. Therefore, researchers and automotive developers devote …
Optimal charge scheduling and on-board control of an urban electrified BRT fleet considering synthetic representative driving cycles
This paper presents a comprehensive approach for optimal charge scheduling and on-
board vehicular control of electrified fleets based on synthetic driving cycles. The proposed …
board vehicular control of electrified fleets based on synthetic driving cycles. The proposed …
Optimization Challenges in Vehicle-to-Grid (V2G) Systems and Artificial Intelligence Solving Methods
Vehicle-to-grid (V2G) systems play a key role in the integration of electric vehicles (EVs) into
smart grids by enabling bidirectional energy flows between EVs and the grid. Optimizing …
smart grids by enabling bidirectional energy flows between EVs and the grid. Optimizing …
[HTML][HTML] Deep Learning Forecasting Model for Market Demand of Electric Vehicles
The increasing demand for electric vehicles (EVs) requires accurate forecasting to support
strategic decisions by manufacturers, policymakers, investors, and infrastructure developers …
strategic decisions by manufacturers, policymakers, investors, and infrastructure developers …
Research on Driving Style Recognition of Autonomous Vehicles Based on ACO-BP
F Cheng, W Gao, S Jia - Applied Sciences, 2023 - mdpi.com
To enhance the lane-changing safety of autonomous vehicles, it is crucial to accurately
identify the driving styles of human drivers in scenarios involving the coexistence of …
identify the driving styles of human drivers in scenarios involving the coexistence of …