[HTML][HTML] PROLIFIC: Deep Reinforcement Learning for Efficient EV Fleet Scheduling and Charging

J Ma, Y Zhang, Z Duan, L Tang - Sustainability, 2023 - mdpi.com
Electric vehicles (EVs) are becoming increasingly popular in ride-hailing services, but their
slow charging speed negatively affects service efficiency. To address this challenge, we …

Battery Charging and Swapping System Involved in Demand Response for Joint Power and Transportation Networks

J Bai, T Ding, W Jia, C Mu, P Siano… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Electric vehicles (EVs) have been gaining great popularity in recent years, but the lack of
adequate infrastructure and the long battery charging time have hindered their further …

满足新型电力系统调峰调频需求的储能优化配置及运行研究综述(网络首发)

冯梦圆, 文书礼, 时珊珊, 王皓靖, 朱淼, 杨雯 - 上海交通大学学报 - xuebao.sjtu.edu.cn
为达成我国“双碳” 目标, 电网中接入大规模可再生能源已成为不可逆转的趋势.
在新能源比例持续增大的背景下, 风电, 光伏并网给电网稳定运行带来诸多挑战 …

Differential evolutionary algorithm based on principal component analysis for the satellite bandwidth resource scheduling problem

Z Wang, D Wang, A Zhang, L Yang - Journal of Physics …, 2023 - iopscience.iop.org
This paper focuses on the research of the communication satellite bandwidth resource
scheduling problem. Satellite resource scheduling refers to adjusting the order of task …

Review of Optimal Allocation and Operation of Energy Storage System for Peak Shaving and Frequency Regulation in New Type Power Systems

F Mengyuan, WEN Shuli, SHI Shanshan… - Journal of Shanghai … - xuebao.sjtu.edu.cn
In order to achieve Chinese goal of carbon peak and carbon neutrality, it is a trend to
introduce renewable energy into large-scale power grids. Owing to the increasing …