Electric Vehicle Penetration Drives Early Vehicle Retirements in Dynamic Transition Model
A multi-stock-driven model estimates that electric vehicle adoption in China could drive 230 million early retirements of conventional vehicles while ...
A multi-stock-driven model estimates that electric vehicle adoption in China could drive 230 million early retirements of conventional vehicles while ...
A study analyzing 348,404 charging sessions in Jiaxing, China, demonstrates that machine learning forecasts and an offline decision twin reduce ...
A machine-learning framework that explicitly encodes the EPA, WLTP, or NEDC test protocol behind each official electric vehicle range label ...
A deep multi-agent reinforcement learning framework that jointly coordinates electric vehicle charging, traffic routing and grid dispatch cut total system ...
A reinforcement learning charging strategy that tracks hourly grid carbon intensity cut EV charging emissions by 1.62% while delivering identical ...
A comparative study of seven uncertainty-aware machine learning frameworks on real-world cargo EV data shows trade-offs between prediction accuracy, interval ...
A mini review argues that expansion force and pressure sensing can improve battery state estimation and provide thermal-runaway warning lead ...
A survey of 366 Bahraini consumers found that attitudes selectively mediate the link between EV beliefs and purchase intention, with ...
A psychometric re-analysis of 1,123 urban Indian survey responses found that knowledge, attitude and practice toward electric vehicles could not ...
A 500 W laboratory prototype of a dual-input converter with a modified deep neural network controller achieved a peak efficiency ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine